Log in

Relevant bibliographies by topics / Automatic Motion Detection and Analysis / Journal articles

To see the other types of publications on this topic, follow the link: Automatic Motion Detection and Analysis.

Journal articles on the topic 'Automatic Motion Detection and Analysis'

Author: Grafiati

Published: 11 September 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Automatic Motion Detection and Analysis.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Li, Zhe, Aya Kanazuka, Atsushi Hojo, et al. "Automatic Puncture Timing Detection for Multi-Camera Injection Motion Analysis." Applied Sciences 13, no. 12 (2023): 7120. http://dx.doi.org/10.3390/app13127120.

Full text

Abstract:

Precisely detecting puncture times has long posed a challenge in medical education. This challenge is attributable not only to the subjective nature of human evaluation but also to the insufficiency of effective detection techniques, resulting in many medical students lacking full proficiency in injection skills upon entering clinical practice. To address this issue, we propose a novel detection method that enables automatic detection of puncture times during injection without needing wearable devices. In this study, we utilized a hardware system and the YOLOv7 algorithm to detect critical fea

APA, Harvard, Vancouver, ISO, and other styles

2

Fu, Eugene Yujun, Hong Va Leong, Grace Ngai, and Stephen C. F. Chan. "Automatic fight detection in surveillance videos." International Journal of Pervasive Computing and Communications 13, no. 2 (2017): 130–56. http://dx.doi.org/10.1108/ijpcc-02-2017-0018.

Full text

Abstract:

Purpose Social signal processing under affective computing aims at recognizing and extracting useful human social interaction patterns. Fight is a common social interaction in real life. A fight detection system finds wide applications. This paper aims to detect fights in a natural and low-cost manner. Design/methodology/approach Research works on fight detection are often based on visual features, demanding substantive computation and good video quality. In this paper, the authors propose an approach to detect fight events through motion analysis. Most existing works evaluated their algorithm

APA, Harvard, Vancouver, ISO, and other styles

3

DAIMON, Tatsuru, Kazuhide MOTEGI, and Hironao KAWASHIMA. "Automatic detection of driver's eye motion using video image sequence analysis." Japanese journal of ergonomics 31, no. 1 (1995): 39–50. http://dx.doi.org/10.5100/jje.31.39.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Kotoku, Jun’ichi, Shinobu Kumagai, Ryouhei Uemura, Susumu Nakabayashi, and Takenori Kobayashi. "Automatic Anomaly Detection of Respiratory Motion Based on Singular Spectrum Analysis." International Journal of Medical Physics, Clinical Engineering and Radiation Oncology 05, no. 01 (2016): 88–95. http://dx.doi.org/10.4236/ijmpcero.2016.51009.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Zhang, Peng Jun, Yu Cheng Bo, Hui Yuan Wang, and Qiang Li. "Fault Detection of Artillery Automatic Loading System Based on PCA." Advanced Materials Research 590 (November 2012): 459–64. http://dx.doi.org/10.4028/www.scientific.net/amr.590.459.

Full text

Abstract:

The motion process of the automatic loading system is a high overloading and intermittent motion environment will bring about motor windings loosening, transmission system wear and tear, fracture, sensor failure and other security risks or system failures. In the paper no-stationary signal analysis by wavelet transform through wavelet decomposition and non-linear threshold de-noising. And use PCA established system model for on-line monitor. By calculate and analysis four kind of result to find fault source. Finally through the experimental prove the reliability of the method.

APA, Harvard, Vancouver, ISO, and other styles

6

D’Aloia, Matteo, Annalisa Longo, and Maria Rizzi. "Noisy ECG Signal Analysis for Automatic Peak Detection." Information 10, no. 2 (2019): 35. http://dx.doi.org/10.3390/info10020035.

Full text

Abstract:

Cardiac signal processing is usually a computationally demanding task as signals are heavily contaminated by noise and other artifacts. In this paper, an effective approach for peak point detection and localization in noisy electrocardiogram (ECG) signals is presented. Six stages characterize the implemented method, which adopts the Hilbert transform and a thresholding technique for the detection of zones inside the ECG signal which could contain a peak. Subsequently, the identified zones are analyzed using the wavelet transform for R point detection and localization. The conceived signal proc

APA, Harvard, Vancouver, ISO, and other styles

7

Schütz, Anne K., Verena Schöler , E. Tobias Krause , et al. "Application of YOLOv4 for Detection and Motion Monitoring of Red Foxes." Animals 11, no. 6 (2021): 1723. http://dx.doi.org/10.3390/ani11061723.

Full text

Abstract:

Animal activity is an indicator for its welfare and manual observation is time and cost intensive. To this end, automatic detection and monitoring of live captive animals is of major importance for assessing animal activity, and, thereby, allowing for early recognition of changes indicative for diseases and animal welfare issues. We demonstrate that machine learning methods can provide a gap-less monitoring of red foxes in an experimental lab-setting, including a classification into activity patterns. Therefore, bounding boxes are used to measure fox movements, and, thus, the activity level of

APA, Harvard, Vancouver, ISO, and other styles

8

Hsu, Yu-Cheng, Hailiang Wang, Yang Zhao, Frank Chen, and Kwok-Leung Tsui. "Automatic Recognition and Analysis of Balance Activity in Community-Dwelling Older Adults: Algorithm Validation." Journal of Medical Internet Research 23, no. 12 (2021): e30135. http://dx.doi.org/10.2196/30135.

Full text

Abstract:

Background Clinical mobility and balance assessments identify older adults who have a high risk of falls in clinics. In the past two decades, sensors have been a popular supplement to mobility and balance assessment to provide quantitative information and a cost-effective solution in the community environment. Nonetheless, the current sensor-based balance assessment relies on manual observation or motion-specific features to identify motions of research interest. Objective The objective of this study was to develop an automatic motion data analytics framework using signal data collected from a

APA, Harvard, Vancouver, ISO, and other styles

9

Marc, O., and N. Hovius. "Amalgamation in landslide maps: effects and automatic detection." Natural Hazards and Earth System Sciences 15, no. 4 (2015): 723–33. http://dx.doi.org/10.5194/nhess-15-723-2015.

Full text

Abstract:

Abstract. Inventories of individually delineated landslides are a key to understanding landslide physics and mitigating their impact. They permit assessment of area–frequency distributions and landslide volumes, and testing of statistical correlations between landslides and physical parameters such as topographic gradient or seismic strong motion. Amalgamation, i.e. the mapping of several adjacent landslides as a single polygon, can lead to potentially severe distortion of the statistics of these inventories. This problem can be especially severe in data sets produced by automated mapping. We

APA, Harvard, Vancouver, ISO, and other styles

10

Marc, O., and N. Hovius. "Amalgamation in landslide maps: effects and automatic detection." Natural Hazards and Earth System Sciences Discussions 2, no. 12 (2014): 7651–78. http://dx.doi.org/10.5194/nhessd-2-7651-2014.

Full text

Abstract:

Abstract. Inventories of individually delineated landslides are a key to understanding landslide physics and mitigating their impact. They permit assessment of area-frequency distributions and landslide volumes, and testing of statistical correlations between landslides and physical parameters such as topographic gradient or seismic strong motion. Amalgamation, i.e. the mapping of several adjacent landslides as a single polygon, can lead to potentially severe distortion of the statistics of these inventories. This problem can be especially severe in datasets produced by automated mapping. We p

APA, Harvard, Vancouver, ISO, and other styles

11

Poursoltanmohammadi, Amirsaman, and Matthew Sorell. "Reliable Motion Detection, Location and Audit in Surveillance Video." International Journal of Digital Crime and Forensics 1, no. 4 (2009): 19–31. http://dx.doi.org/10.4018/jdcf.2009062402.

Full text

Abstract:

The review of video captured by fixed surveillance cameras is a time consuming, tedious, expensive and potentially unreliable human process, but of very high evidentiary value. Two key challenges stand out in such a task: 1.) ensuring that all motion events are captured for analysis, and 2.) demonstrating that all motion events have been captured so that the evidence survives being challenged in court. In previous work (Zhao, Poursoltanmohammadi & Sorell, 2008), it was demonstrated that tracking the average brightness of video frames or frame segment provided a more robust metric of motion

APA, Harvard, Vancouver, ISO, and other styles

12

Cheoi, Kyung Joo. "Temporal Saliency-Based Suspicious Behavior Pattern Detection." Applied Sciences 10, no. 3 (2020): 1020. http://dx.doi.org/10.3390/app10031020.

Full text

Abstract:

The topic of suspicious behavior detection has been one of the most emergent research themes in computer vision, video analysis, and monitoring. Due to the huge number of CCTV (closed-circuit television) systems, it is not easy for people to manually identify CCTV for suspicious motion monitoring. This paper is concerned with an automatic suspicious behavior detection method using a CCTV video stream. Observers generally focus their attention on behaviors that vary in terms of magnitude or gradient of motion and behave differently in rules of motion with other objects. Based on these facts, th

APA, Harvard, Vancouver, ISO, and other styles

13

Chacon-Murguia, Mario I., and Graciela Ramirez-Alonso. "Fuzzy-neural self-adapting background modeling with automatic motion analysis for dynamic object detection." Applied Soft Computing 36 (November 2015): 570–77. http://dx.doi.org/10.1016/j.asoc.2015.08.007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Ye-Lin, Yiyao, Javier Garcia-Casado, Gema Prats-Boluda, José Alberola-Rubio, and Alfredo Perales. "Automatic Identification of Motion Artifacts in EHG Recording for Robust Analysis of Uterine Contractions." Computational and Mathematical Methods in Medicine 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/470786.

Full text

Abstract:

Electrohysterography (EHG) is a noninvasive technique for monitoring uterine electrical activity. However, the presence of artifacts in the EHG signal may give rise to erroneous interpretations and make it difficult to extract useful information from these recordings. The aim of this work was to develop an automatic system of segmenting EHG recordings that distinguishes between uterine contractions and artifacts. Firstly, the segmentation is performed using an algorithm that generates the TOCO-like signal derived from the EHG and detects windows with significant changes in amplitude. After tha

APA, Harvard, Vancouver, ISO, and other styles

15

Zhang, Yan Hua, and Niu Dong. "The Design of Control System Based on Motion Control Card for Automatic Biochemical Testing Device." Advanced Materials Research 580 (October 2012): 270–74. http://dx.doi.org/10.4028/www.scientific.net/amr.580.270.

Full text

Abstract:

A control system based on GE-300-SV-PCI-G motion control card is designed and developed. The hardware of the control system is achieved with the division of functional modules with the analysis of this biochemical testing device. Then the software realizing corresponding detection process is programmed with the method of open and independent programming. In this paper, the multi-threaded programming method is used to solve the problem of software compatibility. Also the movement accuracy of the biochemical testing device is verified with a motion accuracy detection experiment.

APA, Harvard, Vancouver, ISO, and other styles

16

Chen, Tainsong, Tzu-Pei Chen, and Liang Miin Tsai. "Computerized Quantification Analysis of Left Ventricular Wall Motion from Echocardiograms." Ultrasonic Imaging 19, no. 2 (1997): 138–44. http://dx.doi.org/10.1177/016173469701900204.

Full text

Abstract:

Two-dimensional echocardiography (2-D echo) imaging is a more attractive clinical tool than other modalities that either involve radiation exposure or are too slow to image heart motion in real-time. Computer-aided analysis of left ventricular (LV) wall motion provides quantitative parameters for diagnosis. This study presents a computerized model for quantitative analysis of left ventricular wall motion from two-dimensional echocardiography by the application of image processing algorithms, including automatic threshold estimation, contrast stretching, boundary detection and border smoothing.

APA, Harvard, Vancouver, ISO, and other styles

17

Iwamura, Kiyohiko, Jun Younes Louhi Kasahara, Alessandro Moro, Atsushi Yamashita, and Hajime Asama. "Image Captioning Using Motion-CNN with Object Detection." Sensors 21, no. 4 (2021): 1270. http://dx.doi.org/10.3390/s21041270.

Full text

Abstract:

Automatic image captioning has many important applications, such as the depiction of visual contents for visually impaired people or the indexing of images on the internet. Recently, deep learning-based image captioning models have been researched extensively. For caption generation, they learn the relation between image features and words included in the captions. However, image features might not be relevant for certain words such as verbs. Therefore, our earlier reported method included the use of motion features along with image features for generating captions including verbs. However, al

APA, Harvard, Vancouver, ISO, and other styles

18

Negied, Nermin Kamal Abdel-Wahab, Elsayed B. Hemayed, and Magda Fayek. "HSBS: A Human’s Heat Signature and Background Subtraction Hybrid Approach for Crowd Counting and Analysis." International Journal of Pattern Recognition and Artificial Intelligence 30, no. 08 (2016): 1655025. http://dx.doi.org/10.1142/s0218001416550259.

Full text

Abstract:

This work presents a new approach for crowd counting and classification based upon human thermal and motion features. The technique is efficient for automatic crowd density estimation and type of motion determination. Crowd density is measured without any need for camera calibration or assumption of prior knowledge about the input videos. It does not need any human intervention so it can be used successfully in a fully automated crowd control systems. Two new features are introduced for crowd counting purpose: the first represents thermal characteristics of humans and is expressed by the ratio

APA, Harvard, Vancouver, ISO, and other styles

19

Schwalbe, Ellen, and Hans-Gerd Maas. "The determination of high-resolution spatio-temporal glacier motion fields from time-lapse sequences." Earth Surface Dynamics 5, no. 4 (2017): 861–79. http://dx.doi.org/10.5194/esurf-5-861-2017.

Full text

Abstract:

Abstract. This paper presents a comprehensive method for the determination of glacier surface motion vector fields at high spatial and temporal resolution. These vector fields can be derived from monocular terrestrial camera image sequences and are a valuable data source for glaciological analysis of the motion behaviour of glaciers. The measurement concepts for the acquisition of image sequences are presented, and an automated monoscopic image sequence processing chain is developed. Motion vector fields can be derived with high precision by applying automatic subpixel-accuracy image matching

APA, Harvard, Vancouver, ISO, and other styles

20

Muhammad Buhari, Adamu, Chee-Pun Ooi, Vishnu Monn Baskaran, and Wooi-Haw Tan. "Motion and Geometric Feature Analysis for Real-time Automatic Micro-expression Recognition Systems." F1000Research 10 (October 11, 2021): 1029. http://dx.doi.org/10.12688/f1000research.72970.1.

Full text

Abstract:

The trend of real-time micro-expression recognition systems has increased with recent advancements in human-computer interaction (HCI) in security and healthcare. Several studies in this field contributed towards recognition accuracy, while few studies look into addressing the computation costs. In this paper, two approaches for micro-expression feature extraction are analyzed for real-time automatic micro-expression recognition. Firstly, motion-based approach, which calculates motion of subtle changes from an image sequence and present as features. Then, secondly, a low computational geometri

APA, Harvard, Vancouver, ISO, and other styles

21

Sieberth, T. "OPTICAL BLUR DISTURBS – THE INFLUENCE OF OPTICAL-BLURRED IMAGES IN PHOTOGRAMMTRY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2020 (August 6, 2020): 383–88. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2020-383-2020.

Full text

Abstract:

Abstract. Photogrammetric processes such as camera calibration, feature and target detection and referencing are assumed to strongly depend on the quality of the images that are provided for the process. Consequently, motion and optically blurred images are usually excluded from photogrammetric processes to supress their negative influence. To evaluate how much optical blur is acceptable and how large the influence of optical blur is on photogrammetric procedures a variety of test environments were established. These were based upon previous motion blur research and included test fields for th

APA, Harvard, Vancouver, ISO, and other styles

22

Tsai, Du-Ming, and Ching-Ying Huang. "A motion and image analysis method for automatic detection of estrus and mating behavior in cattle." Computers and Electronics in Agriculture 104 (June 2014): 25–31. http://dx.doi.org/10.1016/j.compag.2014.03.003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Syahputra, Eswin, Irpan Nursukmi, Sony Putra, Bayu Sukma Sani, and Rian Farta Wijaya. "EYE ASPECT RATIO ADJUSTMENT DETECTION FOR STRONG BLINKING SLEEPINESS BASED ON FACIAL LANDMARKS WITH EYE-BLINK DATASET." ZERO: Jurnal Sains, Matematika dan Terapan 6, no. 2 (2023): 147. http://dx.doi.org/10.30829/zero.v6i2.14751.

Full text

Abstract:

<span lang="id">Blink detection is an important technique in a variety of settings, including facial motion analysis and signal processing. However, automatic blink detection is challenging due to its blink rate. This paper proposes a real-time method for detecting eye blinks in a video series. The method is based on automatic facial landmark detection trained on real-world datasets and demonstrates robustness against various environmental factors, including lighting conditions, facial emotions, and head position. The proposed algorithm calculates the position of facial landmarks, extrac

APA, Harvard, Vancouver, ISO, and other styles

24

Andrade, Carlos I., and Daniel E. Hurtado. "Inelastic Deformable Image Registration (i-DIR): Capturing Sliding Motion through Automatic Detection of Discontinuities." Mathematics 9, no. 1 (2021): 97. http://dx.doi.org/10.3390/math9010097.

Full text

Abstract:

Deformable image registration (DIR) is an image-analysis method with a broad range of applications in biomedical sciences. Current applications of DIR on computed-tomography (CT) images of the lung and other organs under deformation suffer from large errors and artifacts due to the inability of standard DIR methods to capture sliding between interfaces, as standard transformation models cannot adequately handle discontinuities. In this work, we aim at creating a novel inelastic deformable image registration (i-DIR) method that automatically detects sliding surfaces and that is capable of handl

APA, Harvard, Vancouver, ISO, and other styles

25

MARTELL, CRAIG, and JOSHUA KROLL. "CORPUS-BASED GESTURE ANALYSIS: AN EXTENSION OF THE FORM DATASET FOR THE AUTOMATIC DETECTION OF PHASES IN A GESTURE." International Journal of Semantic Computing 01, no. 04 (2007): 521–36. http://dx.doi.org/10.1142/s1793351x07000287.

Full text

Abstract:

We present the results of using an extension of the FORM gesture dataset to predict the mid-level phenomenon of phase. We compare the results of human phase prediction with automated prediction using machine-learning techniques. Specifically, we present the results of hidden Markov model experiments using an extended version of the FORM data to predict phase labels. Additionally, we compare FORM to the currently most accurate method of data gathering in this field — motion capture — by comparing the predictive accuracy of the physical gesture models produced by FORM and by motion capture for p

APA, Harvard, Vancouver, ISO, and other styles

26

Xu, Ju. "Sequence Analysis and Feature Extraction of Sports Images Using Recurrent Neural Network." Mobile Information Systems 2022 (April 7, 2022): 1–11. http://dx.doi.org/10.1155/2022/2845115.

Full text

Abstract:

Image sequence analysis is attracting significant attention at present, but its principles and techniques have rarely been applied to the field of sports biomechanics. As far as the technology of automatic recognition of joint points by computers is concerned, it is still in the experimental stage. The purpose of this paper is to study and analyze the sequence analysis and feature extraction of sports images based on cyclic neural network. This paper puts forward the basic concepts of sports image sequence analysis and feature extraction and analyzes the importance of sports in this context. A

APA, Harvard, Vancouver, ISO, and other styles

27

Kasai, Ryuji, Takashi Goso, and Tetsuro Osawa. "Development of a program for automatic identification of productivity of construction workers." IOP Conference Series: Earth and Environmental Science 1195, no. 1 (2023): 012042. http://dx.doi.org/10.1088/1755-1315/1195/1/012042.

Full text

Abstract:

Abstract In the Japanese construction industry, work environment and productivity data of construction projects are collected and analyzed by on-site engineers as individual data based on attendance and performance records. Therefore, productivity data are not uniformly collected and cannot be considered as highly reliable. Therefore, in this study, a prototype of a system is developed that automatically collects data regarding the workers’ activities using sensors and analyzes the working environment and productivity of construction projects. Although image analysis is typically employed for

APA, Harvard, Vancouver, ISO, and other styles

28

Wael, Mai, El-Sayed H. Ibrahim, and Ahmed S. Fahmy. "Detection of Cardiac Function Abnormality from MRI Images Using Normalized Wall Thickness Temporal Patterns." International Journal of Biomedical Imaging 2016 (2016): 1–6. http://dx.doi.org/10.1155/2016/4301087.

Full text

Abstract:

Purpose. To develop a method for identifying abnormal myocardial function based on studying the normalized wall motion pattern during the cardiac cycle.Methods. The temporal pattern of the normalized myocardial wall thickness is used as a feature vector to assess the cardiac wall motion abnormality. Principal component analysis is used to reduce the feature dimensionality and the maximum likelihood method is used to differentiate between normal and abnormal features. The proposed method was applied on a dataset of 27 cases from normal subjects and patients.Results. The developed method achieve

APA, Harvard, Vancouver, ISO, and other styles

29

Le Boité, Hugo, Mardoche Chetrit, Ali Erginay, et al. "Impact of image averaging on vessel detection using optical coherence tomography angiography in eyes with macular oedema and in healthy eyes." PLOS ONE 16, no. 10 (2021): e0257859. http://dx.doi.org/10.1371/journal.pone.0257859.

Full text

Abstract:

Purpose To assess the repeatability of multiple automatic vessel density (VD) measurements and the effect of image averaging on vessel detection by optical coherence tomography angiography (OCTA). Methods An observational study was conducted in a series of healthy volunteers and patients with macular oedema. Five sequential OCTA images were acquired for each eye using the OptoVue HD device. The effect of the averaging of the 5 acquisitions on vessel detection was analysed quantitatively using a pixel-by-pixel automated analysis. In addition, two independent retina experts qualitatively assesse

APA, Harvard, Vancouver, ISO, and other styles

30

Sarmadi, Sorena, James J. Winkle, Razan N. Alnahhas, et al. "Stochastic Neural Networks for Automatic Cell Tracking in Microscopy Image Sequences of Bacterial Colonies." Mathematical and Computational Applications 27, no. 2 (2022): 22. http://dx.doi.org/10.3390/mca27020022.

Full text

Abstract:

Our work targets automated analysis to quantify the growth dynamics of a population of bacilliform bacteria. We propose an innovative approach to frame-sequence tracking of deformable-cell motion by the automated minimization of a new, specific cost functional. This minimization is implemented by dedicated Boltzmann machines (stochastic recurrent neural networks). Automated detection of cell divisions is handled similarly by successive minimizations of two cost functions, alternating the identification of children pairs and parent identification. We validate the proposed automatic cell trackin

APA, Harvard, Vancouver, ISO, and other styles

31

Hocke, Lia Maria, Yunjie Tong, and Blaise deBonneval Frederick. "An Automatic Motion-Based Artifact Reduction Algorithm for fNIRS in Concurrent Functional Magnetic Resonance Imaging Studies (AMARA–fMRI)." Algorithms 16, no. 5 (2023): 230. http://dx.doi.org/10.3390/a16050230.

Full text

Abstract:

Multimodal functional near-infrared spectroscopy–functional magnetic resonance imaging (fNIRS–fMRI) studies have been highly beneficial for both the fNIRS and fMRI field as, for example, they shed light on the underlying mechanism of each method. However, several noise sources exist in both methods. Motion artifact removal is an important preprocessing step in fNIRS analysis. Several manual motion–artifact removal methods have been developed which require time and are highly dependent on expertise. Only a few automatic methods have been proposed. AMARA (acceleration-based movement artifact red

APA, Harvard, Vancouver, ISO, and other styles

32

Chan, Si-Wa, Yung-Chieh Chang, Po-Wen Huang, et al. "Breast Tumor Detection and Classification Using Intravoxel Incoherent Motion Hyperspectral Imaging Techniques." BioMed Research International 2019 (July 28, 2019): 1–15. http://dx.doi.org/10.1155/2019/3843295.

Full text

Abstract:

Breast cancer is a main cause of disease and death for women globally. Because of the limitations of traditional mammography and ultrasonography, magnetic resonance imaging (MRI) has gradually become an important radiological method for breast cancer assessment over the past decades. MRI is free of the problems related to radiation exposure and provides excellent image resolution and contrast. However, a disadvantage is the injection of contrast agent, which is toxic for some patients (such as patients with chronic renal disease or pregnant and lactating women). Recent findings of gadolinium d

APA, Harvard, Vancouver, ISO, and other styles

33

Li, Zhou Yang, Wen Tao Gu, and Yan Ni Lei. "Process Data Driven Based Process Equipment Automatic Control Technology." Applied Mechanics and Materials 101-102 (September 2011): 913–17. http://dx.doi.org/10.4028/www.scientific.net/amm.101-102.913.

Full text

Abstract:

Process equipment is essential for product manufacturing, especially for complex products such as aircraft and rocket. In order to improve the motion precision and automation level of process equipment, a new approach is brought forward. A data driven based process equipment automatic control system is introduced to control process equipment automatically according to process data. Fig. 1 in the full paper gives the system’s architecture. Based on analysis of the relationship among manufacturing processes, process plan information and process equipment, process equipment automatic control orie

APA, Harvard, Vancouver, ISO, and other styles

34

Singh, Chandra Has, Vishal Mishra, Kamal Jain, and Anoop Kumar Shukla. "FRCNN-Based Reinforcement Learning for Real-Time Vehicle Detection, Tracking and Geolocation from UAS." Drones 6, no. 12 (2022): 406. http://dx.doi.org/10.3390/drones6120406.

Full text

Abstract:

In the last few years, uncrewed aerial systems (UASs) have been broadly employed for many applications including urban traffic monitoring. However, in the detection, tracking, and geolocation of moving vehicles using UAVs there are problems to be encountered such as low-accuracy sensors, complex scenes, small object sizes, and motion-induced noises. To address these problems, this study presents an intelligent, self-optimised, real-time framework for automated vehicle detection, tracking, and geolocation in UAV-acquired images which enlist detection, location, and tracking features to improve

APA, Harvard, Vancouver, ISO, and other styles

35

Skvortsov, Dmitry, Victor Anisimov, and Alina Aizenshtein. "Experimental Study of Military Crawl as a Special Type of Human Quadripedal Automatic Locomotion." Applied Sciences 11, no. 16 (2021): 7666. http://dx.doi.org/10.3390/app11167666.

Full text

Abstract:

The biomechanics of military crawl locomotion is poorly covered in scientific literature so far. Crawl locomotion may be used as a testing procedure which allows for the detection of not only obvious, but also hidden locomotor dysfunctions. The aim of the study was to investigate the biomechanics of crawling among healthy adult participants. Eight healthy adults aged 15–31 (four women and four men) were examined by means of a 3D kinematic analysis with Optitrack optical motion-capture system which consists of 12 Flex 13 cameras. The movements of the shoulder, elbow, knee, and hip joints were r

APA, Harvard, Vancouver, ISO, and other styles

36

Li, Zhi Hua, and Qiu Luan Li. "Automated Alarm Based on Intelligent Visual Analysis." Applied Mechanics and Materials 340 (July 2013): 701–5. http://dx.doi.org/10.4028/www.scientific.net/amm.340.701.

Full text

Abstract:

Abnormal event detection and automated alarm are the important tasks in visual surveillance applications. In this paper, a novel automated alarm method based on intelligent visual analysis is proposed for alarm of abandoned objects and virtual cordon protection. Firstly the monitoring regions and cordons position are set artificially in the surveillance background scenes. The forground motion regions are segmented based on background subtraction model, and then are clustered by connected component analysis. After motion region segmentation and cluster, object tracking based on discriminative a

APA, Harvard, Vancouver, ISO, and other styles

37

García Rubio, Víctor, Juan Antonio Rodrigo Ferrán, Jose Manuel Menéndez García, Nuria Sánchez Almodóvar, José María Lalueza Mayordomo, and Federico Álvarez. "Automatic Change Detection System over Unmanned Aerial Vehicle Video Sequences Based on Convolutional Neural Networks." Sensors 19, no. 20 (2019): 4484. http://dx.doi.org/10.3390/s19204484.

Full text

Abstract:

In recent years, the use of unmanned aerial vehicles (UAVs) for surveillance tasks has increased considerably. This technology provides a versatile and innovative approach to the field. However, the automation of tasks such as object recognition or change detection usually requires image processing techniques. In this paper we present a system for change detection in video sequences acquired by moving cameras. It is based on the combination of image alignment techniques with a deep learning model based on convolutional neural networks (CNNs). This approach covers two important topics. Firstly,

APA, Harvard, Vancouver, ISO, and other styles

38

Nie, Pin, Zhenjie Chen, Nan Xia, Qiuhao Huang, and Feixue Li. "Trajectory Similarity Analysis with the Weight of Direction and k-Neighborhood for AIS Data." ISPRS International Journal of Geo-Information 10, no. 11 (2021): 757. http://dx.doi.org/10.3390/ijgi10110757.

Full text

Abstract:

Automatic Identification System (AIS) data have been widely used in many fields, such as collision detection, navigation, and maritime traffic management. Similarity analysis is an important process for most AIS trajectory analysis topics. However, most traditional AIS trajectory similarity analysis methods calculate the distance between trajectory points, which requires complex and time-consuming calculations, often leading to substantial errors when processing AIS trajectory data characterized by substantial differences in length or uneven trajectory points. Therefore, we propose a cell-base

APA, Harvard, Vancouver, ISO, and other styles

39

Merrouche, Fairouz, and Nadia Baha. "Fall Detection Depth-Based Using Tilt Angle and Shape Deformation." International Journal of Computer Vision and Image Processing 8, no. 4 (2018): 26–40. http://dx.doi.org/10.4018/ijcvip.2018100103.

Full text

Abstract:

The population of elderly people is in growth. Falls risk their life, to disabilities, and to fears. Automatic fall detection systems provide them secure living; helping them to be independent at home. Computer vision offers efficient systems over many developed systems. In this article, the authors propose a new vision-based fall detection using depth camera. It combines human shape analysis, centroid detection and motion where it exploits the 3D information provided by a Kinect to compute the tilt angle to discriminate falls. Experimental tests were done with SDUFall dataset that contains 20

APA, Harvard, Vancouver, ISO, and other styles

40

Tufvesson, Jane, Erik Hedström, Katarina Steding-Ehrenborg, Marcus Carlsson, Håkan Arheden, and Einar Heiberg. "Validation and Development of a New Automatic Algorithm for Time-Resolved Segmentation of the Left Ventricle in Magnetic Resonance Imaging." BioMed Research International 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/970357.

Full text

Abstract:

Introduction.Manual delineation of the left ventricle is clinical standard for quantification of cardiovascular magnetic resonance images despite being time consuming and observer dependent. Previous automatic methods generally do not account for one major contributor to stroke volume, the long-axis motion. Therefore, the aim of this study was to develop and validate an automatic algorithm for time-resolved segmentation covering the whole left ventricle, including basal slices affected by long-axis motion.Methods.Ninety subjects imaged with a cine balanced steady state free precession sequence

APA, Harvard, Vancouver, ISO, and other styles

41

Ye, Hua Cong, and Yue Ming Hu. "Study of Self-Adaptive Control System in CNC Machine." Applied Mechanics and Materials 271-272 (December 2012): 504–8. http://dx.doi.org/10.4028/www.scientific.net/amm.271-272.504.

Full text

Abstract:

A set of solving scheme of full-closed loop adaptive servocontrol control system, which can on-line monitoring and real-time control ,was proposed based on the analysis of a number of factors that affect the processing quality of high-precision slender shaft during CNC machining process.Adopt the "PC+motion controller" mode,on-line detection accuracy index of the workpiece, and feed bake the detection signal to CNC system, through the automatic processing of CNC system, timely adjust cutting parameters, so that the detected error factors remain within a reasonable limits, to ensure the stabili

APA, Harvard, Vancouver, ISO, and other styles

42

Mendez, Martin O., Elvia R. Palacios-Hernandez, Alfonso Alba, Juha M. Kortelainen, Mirja L. Tenhunen, and Anna M. Bianchi. "Detection of the Sleep Stages Throughout Non-Obtrusive Measures of Inter-Beat Fluctuations and Motion: Night and Day Sleep of Female Shift Workers." Fluctuation and Noise Letters 16, no. 04 (2017): 1750033. http://dx.doi.org/10.1142/s021947751750033x.

Full text

Abstract:

Automatic sleep staging based on inter-beat fluctuations and motion signals recorded through a pressure bed sensor during sleep is presented. The analysis of the sleep was based on the three major divisions of the sleep time: Wake, non-rapid eye movement (nREM) and rapid eye movement (REM) sleep stages. Twelve sleep recordings, from six females working alternate shift, with their respective annotations were used in the study. Six recordings were acquired during the night and six during the day after a night shift. A Time-Variant Autoregressive Model was used to extract features from inter-beat

APA, Harvard, Vancouver, ISO, and other styles

43

Baccinelli, Walter, Maria Bulgheroni, Valentina Simonetti, et al. "Movidea: A Software Package for Automatic Video Analysis of Movements in Infants at Risk for Neurodevelopmental Disorders." Brain Sciences 10, no. 4 (2020): 203. http://dx.doi.org/10.3390/brainsci10040203.

Full text

Abstract:

Early detecting the presence of neurodevelopmental disorders plays an important role in the effectiveness of the treatment. In this paper, we present a novel tool to extract motion features using single camera video recordings of infants. The Movidea software was developed to allow the operator to track the movement of end-effectors of infants in free moving conditions and extract movement features automatically. Movidea was used by different operators to analyze a set of video recordings and its performance was evaluated. The results showed that Movidea performance did not vary with the opera

APA, Harvard, Vancouver, ISO, and other styles

44

Tsai, L. M., T. P. Chen, T. S. Chen, and J. H. Chen. "Application of automatic boundary detection for computerized quantitative analysis of left ventricular regional wall motion by two-dimensional echocardiography." Journal of Ultrasound in Medicine 16, no. 3 (1997): 177–82. http://dx.doi.org/10.7863/jum.1997.16.3.177.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Benard, Thierry, Michel Bouchoucha, Michel Dupres, and Paul-Henri Cugnenc. "In vitro analysis of rat intestinal wall movements at rest and during propagated contraction: a new method." American Journal of Physiology-Gastrointestinal and Liver Physiology 273, no. 4 (1997): G776—G784. http://dx.doi.org/10.1152/ajpgi.1997.273.4.g776.

Full text

Abstract:

Intestinal wall motions are not easily studied and are frequently deduced from manometric and electromyographic measurements. This study aimed to establish a method of wall movement analysis based on an automatic technique of image processing. Segments of rat jejunum were fixed in an organ bath under isometric conditions. A real-time edge-detection algorithm was used to find the contours of the intestine using video imaging. After the measurement, a mapping of intestinal wall movements was performed based on diameter variations. In the 260 experiments without stimulation, intestinal wall activ

APA, Harvard, Vancouver, ISO, and other styles

46

Liu, Dianting, Yilin Yan, Mei-Ling Shyu, Guiru Zhao, and Min Chen. "Spatio-Temporal Analysis for Human Action Detection and Recognition in Uncontrolled Environments." International Journal of Multimedia Data Engineering and Management 6, no. 1 (2015): 1–18. http://dx.doi.org/10.4018/ijmdem.2015010101.

Full text

Abstract:

Understanding semantic meaning of human actions captured in unconstrained environments has broad applications in fields ranging from patient monitoring, human-computer interaction, to surveillance systems. However, while great progresses have been achieved on automatic human action detection and recognition in videos that are captured in controlled/constrained environments, most existing approaches perform unsatisfactorily on videos with uncontrolled/unconstrained conditions (e.g., significant camera motion, background clutter, scaling, and light conditions). To address this issue, the authors

APA, Harvard, Vancouver, ISO, and other styles

47

Baer, M., and U. Kradolfer. "An automatic phase picker for local and teleseismic events." Bulletin of the Seismological Society of America 77, no. 4 (1987): 1437–45. http://dx.doi.org/10.1785/bssa0770041437.

Full text

Abstract:

Abstract An automatic detection algorithm has been developed which is capable of time P-phase arrivals of both local and teleseismic earthquakes, but rejects noise bursts and transient events. For each signal trace, the envelope function is calculated and passed through a nonlinear amplifier. The resulting signal is then subjected to a statistical analysis to yield arrival time, first motion, and a measure of reliability to be placed on the P-arrival pick. An incorporated dynamic threshold lets the algorithm become very sensitive; thus, even weak signals are timed precisely. During an extended

APA, Harvard, Vancouver, ISO, and other styles

48

Khlamov, Sergii V., Vadym E. Savanevych, Olexandr B. Briukhovetskyi, and Artem V. Pohorelov. "CoLiTec software - detection of the near-zero apparent motion." Proceedings of the International Astronomical Union 12, S325 (2016): 349–52. http://dx.doi.org/10.1017/s1743921316012539.

Full text

Abstract:

AbstractIn this article we described CoLiTec software for full automated frames processing. CoLiTec software allows processing the Big Data of observation results as well as processing of data that is continuously formed during observation. The scope of solving tasks includes frames brightness equalization, moving objects detection, astrometry, photometry, etc. Along with the high efficiency of Big Data processing CoLiTec software also ensures high accuracy of data measurements. A comparative analysis of the functional characteristics and positional accuracy was performed between CoLiTec and A

APA, Harvard, Vancouver, ISO, and other styles

49

Nurhopipah, Ade, and Agus Harjoko. "Motion Detection and Face Recognition for CCTV Surveillance System." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 12, no. 2 (2018): 107. http://dx.doi.org/10.22146/ijccs.18198.

Full text

Abstract:

Closed Circuit Television (CCTV) is currently used in daily life for a variety purpose. Development of the use of CCTV has transformed from a simple passive surveillance into an integrated intelligent control system. In this research, motion detection and facial recognation in CCTV video is done to be a base for decision making to produce automated, effective and efficient integrated system. This CCTV video processing provides three outputs, a motion detection information, a face detection information and a face identification information. Accumulative Differences Images (ADI) used for motion

APA, Harvard, Vancouver, ISO, and other styles

50

Fedjajevs, Andrejs, Willemijn Groenendaal, Carlos Agell, and Evelien Hermeling. "Platform for Analysis and Labeling of Medical Time Series." Sensors 20, no. 24 (2020): 7302. http://dx.doi.org/10.3390/s20247302.

Full text

Abstract:

Reliable and diverse labeled reference data are essential for the development of high-quality processing algorithms for medical signals, such as electrocardiogram (ECG) and photoplethysmogram (PPG). Here, we present the Platform for Analysis and Labeling of Medical time Series (PALMS) designed in Python. Its graphical user interface (GUI) facilitates three main types of manual annotations—(1) fiducials, e.g., R-peaks of ECG; (2) events with an adjustable duration, e.g., arrhythmic episodes; and (3) signal quality, e.g., data parts corrupted by motion artifacts. All annotations can be attribute

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!