Literatura académica sobre el tema "Automatic Motion Detection and Analysis"
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Artículos de revistas sobre el tema "Automatic Motion Detection and Analysis"
Li, Zhe, Aya Kanazuka, Atsushi Hojo, Takane Suzuki, Kazuyo Yamauchi, Shoichi Ito, Yukihiro Nomura y Toshiya Nakaguchi. "Automatic Puncture Timing Detection for Multi-Camera Injection Motion Analysis". Applied Sciences 13, n.º 12 (14 de junio de 2023): 7120. http://dx.doi.org/10.3390/app13127120.
Texto completoFu, Eugene Yujun, Hong Va Leong, Grace Ngai y Stephen C. F. Chan. "Automatic fight detection in surveillance videos". International Journal of Pervasive Computing and Communications 13, n.º 2 (5 de junio de 2017): 130–56. http://dx.doi.org/10.1108/ijpcc-02-2017-0018.
Texto completoDAIMON, Tatsuru, Kazuhide MOTEGI y Hironao KAWASHIMA. "Automatic detection of driver's eye motion using video image sequence analysis." Japanese journal of ergonomics 31, n.º 1 (1995): 39–50. http://dx.doi.org/10.5100/jje.31.39.
Texto completoKotoku, Jun’ichi, Shinobu Kumagai, Ryouhei Uemura, Susumu Nakabayashi y Takenori Kobayashi. "Automatic Anomaly Detection of Respiratory Motion Based on Singular Spectrum Analysis". International Journal of Medical Physics, Clinical Engineering and Radiation Oncology 05, n.º 01 (2016): 88–95. http://dx.doi.org/10.4236/ijmpcero.2016.51009.
Texto completoZhang, Peng Jun, Yu Cheng Bo, Hui Yuan Wang y Qiang Li. "Fault Detection of Artillery Automatic Loading System Based on PCA". Advanced Materials Research 590 (noviembre de 2012): 459–64. http://dx.doi.org/10.4028/www.scientific.net/amr.590.459.
Texto completoD’Aloia, Matteo, Annalisa Longo y Maria Rizzi. "Noisy ECG Signal Analysis for Automatic Peak Detection". Information 10, n.º 2 (22 de enero de 2019): 35. http://dx.doi.org/10.3390/info10020035.
Texto completoSchütz, Anne K., Verena Schöler , E. Tobias Krause , Mareike Fischer , Thomas Müller , Conrad M. Freuling, Franz J. Conraths , Mario Stanke, Timo Homeier-Bachmann y Hartmut H. K. Lentz. "Application of YOLOv4 for Detection and Motion Monitoring of Red Foxes". Animals 11, n.º 6 (9 de junio de 2021): 1723. http://dx.doi.org/10.3390/ani11061723.
Texto completoHsu, Yu-Cheng, Hailiang Wang, Yang Zhao, Frank Chen y Kwok-Leung Tsui. "Automatic Recognition and Analysis of Balance Activity in Community-Dwelling Older Adults: Algorithm Validation". Journal of Medical Internet Research 23, n.º 12 (20 de diciembre de 2021): e30135. http://dx.doi.org/10.2196/30135.
Texto completoMarc, O. y N. Hovius. "Amalgamation in landslide maps: effects and automatic detection". Natural Hazards and Earth System Sciences 15, n.º 4 (2 de abril de 2015): 723–33. http://dx.doi.org/10.5194/nhess-15-723-2015.
Texto completoMarc, O. y N. Hovius. "Amalgamation in landslide maps: effects and automatic detection". Natural Hazards and Earth System Sciences Discussions 2, n.º 12 (16 de diciembre de 2014): 7651–78. http://dx.doi.org/10.5194/nhessd-2-7651-2014.
Texto completoTesis sobre el tema "Automatic Motion Detection and Analysis"
Richards, Mark Andrew. "An intuitive motion-based input model for mobile devices". Queensland University of Technology, 2006. http://eprints.qut.edu.au/16556/.
Texto completoRichards, Mark Andrew. "An intuitive motion-based input model for mobile devices". Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/16556/1/Mark_Richards_Thesis.pdf.
Texto completoBrulin, Mathieu. "Analyse sémantique d'un trafic routier dans un contexte de vidéo-surveillance". Thesis, Bordeaux 1, 2012. http://www.theses.fr/2012BOR14589/document.
Texto completoAutomatic traffic monitoring plays an important role in traffic surveillance. Video cameras are relatively inexpensive surveillance tools, but necessitate robust, efficient and automated video analysis algorithms. The loss of information caused by the formation of images under perspective projection made the automatic task of detection and tracking vehicles a very challenging problem, but essential to extract a semantic interpretation of vehicles behaviors. The work proposed in this thesis comes from a collaboration between the LaBRI (Laboratoire Bordelais de Recherche en Informatique) and the company Adacis. The aim is to elaborate a complete video-surveillance system designed for automatic incident detection.To reach this objective, traffic scene analysis proceeds from low-level processing to high-level descriptions of the traffic, which can be in a wide variety of type: vehicles entering or exiting the scene, vehicles collisions, vehicles' speed that are too fast or too low, stopped vehicles or objects obstructing part of the road... A large number of road traffic monitoring systems are based on background subtraction techniques to segment the regions of interest of the image. Resulted regions are then tracked and trajectories are used to extract a semantic interpretation of the vehicles behaviors.The motion detection is based on a statistical model of background color. The model used is a mixture model of probabilistic laws, which allows to characterize multimodal distributions for each pixel. Estimation of optical flow, a gradient difference estimation and shadow and highlight detection are used to confirm or invalidate the segmentation results.The tracking process is based on a predictive filter using a motion model with constant velocity. A simple Kalman filter is employed, which allow to predict state of objets based on a \textit{a priori} information from the motion model.The behavior analysis step contains two approaches : the first one consists in exploiting information from low-level and mid-level analysis. Objects and their trajectories are analysed and used to extract abnormal behavior. The second approach consists in analysing a spatio-temporal slice in the 3D video volume. The extracted maps are used to estimate statistics about traffic and are used to detect abnormal behavior such as stopped vehicules or wrong way drivers.In order to help the segmentaion and the tracking processes, a structure model of the scene is proposed. This model is constructed using an unsupervised learning step. During this learning step, gradient information from the background image and typical trajectories of vehicles are estimated. The results are combined to estimate the vanishing point of the scene, the lanes boundaries and a rough depth estimation is performed. In parallel, a statistical model of the trafic flow direction is proposed. To deal with periodic data, a von-Mises mixture model is used to characterize the traffic flow direction
Mawla, Aya Abdul. "Real time automatic intruder detection system (RAIDS)". Thesis, University of Bristol, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319332.
Texto completoHayfron-Acquah, James Ben. "Automatic gait recognition by symmetry analysis". Thesis, University of Southampton, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274080.
Texto completoCase, Isaac. "Automatic object detection and tracking in video /". Online version of thesis, 2010. http://hdl.handle.net/1850/12332.
Texto completoAleixo, de Matos SeÌrgio Guilherme. "Automatic detection and analysis of cough sounds". Thesis, University of Leicester, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.437913.
Texto completoShankaranarayanan, S. "Detection of Coreferences in Automatic Specifications Analysis". Thesis, Virginia Tech, 1994. http://hdl.handle.net/10919/42360.
Texto completoMaster of Science
Li, Yunming. "Machine vision algorithms for mining equipment automation". Thesis, Queensland University of Technology, 2000.
Buscar texto completoLiu, Chang. "Human motion detection and action recognition". HKBU Institutional Repository, 2010. http://repository.hkbu.edu.hk/etd_ra/1108.
Texto completoLibros sobre el tema "Automatic Motion Detection and Analysis"
Narasimhan, Shankar. Data reconciliation & gross error detection: An intelligent use of process data. Houston: Gulf Publishing Co., 2000.
Buscar texto completoD, Lorenz Robert y NASA Glenn Research Center, eds. Stator and rotor flux based deadbeat direct torque control of induction machines. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.
Buscar texto completoD, Lorenz Robert y NASA Glenn Research Center, eds. Stator and rotor flux based deadbeat direct torque control of induction machines. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.
Buscar texto completoKenny, Barbara H. Stator and rotor flux based deadbeat direct torque control of induction machines. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.
Buscar texto completoVavrik, Ursula. A priori and a posteriori travel market segmentation: Tailoring automatic interaction detection and cluster analysis for tourism marketing. Aix-en-Provence: Centre des Hautes Etudes Touristiques, 1990.
Buscar texto completoJordache, Cornelius y Shankar Narasimhan. Data Reconciliation and Gross Error Detection: An Intelligent Use of Process Data. Elsevier Science & Technology Books, 1999.
Buscar texto completoPh.D. (Ch.E.), Dr. Shankar Narasimhan y Ph.D. (Ch.E), Dr. Cornelius Jordache. Data Reconciliation and Gross Error Detection: An Intelligent Use of Process Data. Gulf Professional Publishing, 1999.
Buscar texto completoLAND.TECHNIK AgEng 2019. VDI Verlag, 2019. http://dx.doi.org/10.51202/9783181023617.
Texto completoUfimtseva, Nataliya V., Iosif A. Sternin y Elena Yu Myagkova. Russian psycholinguistics: results and prospects (1966–2021): a research monograph. Institute of Linguistics, Russian Academy of Sciences, 2021. http://dx.doi.org/10.30982/978-5-6045633-7-3.
Texto completoCapítulos de libros sobre el tema "Automatic Motion Detection and Analysis"
Jakobsen, Ida Marie Groth y Maciej Plocharski. "Automatic Detection of Cervical Vertebral Landmarks for Fluoroscopic Joint Motion Analysis". En Image Analysis, 209–20. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20205-7_18.
Texto completoTardini, Giovanni, Costantino Grana, Rossano Marchi y Rita Cucchiara. "Shot Detection and Motion Analysis for Automatic MPEG-7 Annotation of Sports Videos". En Image Analysis and Processing – ICIAP 2005, 653–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11553595_80.
Texto completoAlizadeh, Maryam, Melissa Cote y Alexandra Branzan Albu. "Leaflet Free Edge Detection for the Automatic Analysis of Prosthetic Heart Valve Opening and Closing Motion Patterns from High Speed Video Recordings". En Image Analysis, 15–27. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59129-2_2.
Texto completoReshadat, Vahideh, Tess Kolkman, Kalliopi Zervanou, Yingqian Zhang, Alp Akçay, Carlijn Snijder, Ryan McDonnell et al. "Knowledge Modeling and Incident Analysis for Special Cargo". En Technologies and Applications for Big Data Value, 519–44. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78307-5_23.
Texto completoYao, Wei y Jianwei Wu. "Airborne LiDAR for Detection and Characterization of Urban Objects and Traffic Dynamics". En Urban Informatics, 367–400. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_22.
Texto completoMitiche, Amar y J. K. Aggarwal. "Motion Detection". En Computer Vision Analysis of Image Motion by Variational Methods, 95–142. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00711-3_4.
Texto completoWietzke, Lennart y Gerald Sommer. "Nonlinear Motion Detection". En Computer Analysis of Images and Patterns, 1122–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03767-2_136.
Texto completoSueur, Jérôme. "Comparison and Automatic Detection". En Sound Analysis and Synthesis with R, 521–54. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77647-7_17.
Texto completoBitar, Ahmad W., Jean-Philippe Ovarlez, Loong-Fah Cheong y Ali Chehab. "Automatic Target Detection for Sparse Hyperspectral Images". En Hyperspectral Image Analysis, 435–62. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38617-7_15.
Texto completoAlberti, Marina, Carlo Gatta, Simone Balocco, Francesco Ciompi, Oriol Pujol, Joana Silva, Xavier Carrillo y Petia Radeva. "Automatic Branching Detection in IVUS Sequences". En Pattern Recognition and Image Analysis, 126–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21257-4_16.
Texto completoActas de conferencias sobre el tema "Automatic Motion Detection and Analysis"
Fu, Eugene Yujun, Hong Va Leong, Grace Ngai y Stephen Chan. "Automatic Fight Detection Based on Motion Analysis". En 2015 IEEE International Symposium on Multimedia (ISM). IEEE, 2015. http://dx.doi.org/10.1109/ism.2015.98.
Texto completoJungmann, Alexander y Bernd Kleinjohann. "Automatic feature classification for object detection based on motion analysis". En 2011 5th International Conference on Automation, Robotics and Applications (ICARA 2011). IEEE, 2011. http://dx.doi.org/10.1109/icara.2011.6144880.
Texto completoGoya, Koichiro, Xiaoxue Zhang, Kouki Kitayama y Itaru Nagayama. "A Method for Automatic Detection of Crimes for Public Security by Using Motion Analysis". En 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP). IEEE, 2009. http://dx.doi.org/10.1109/iih-msp.2009.264.
Texto completoShi, Zhanqun, Andrew Higson, Lin Zheng, Fengshou Gu y Andrew Ball. "Automatic Fault Detection Using a Model-Based Approach in the Frequency Domain". En ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95103.
Texto completoSun, Yue, Deedee Kommers, Wenjin Wang, Rohan Joshi, Caifeng Shan, Tao Tan, Ronald M. Aarts, Carola van Pul, Peter Andriessen y Peter H. N. de With. "Automatic and Continuous Discomfort Detection for Premature Infants in a NICU Using Video-Based Motion Analysis". En 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2019. http://dx.doi.org/10.1109/embc.2019.8857597.
Texto completoBeigi, Parmida, Septimiu E. Salcudean, Robert Rohling y Gary C. Ng. "Automatic detection of a hand-held needle in ultrasound via phased-based analysis of the tremor motion". En SPIE Medical Imaging, editado por Robert J. Webster y Ziv R. Yaniv. SPIE, 2016. http://dx.doi.org/10.1117/12.2217073.
Texto completoTahmoush, Dave. "An automated analysis of wide area motion imagery for moving subject detection". En SPIE Defense + Security, editado por Daniel J. Henry, Gregory J. Gosian, Davis A. Lange, Dale Linne von Berg, Thomas J. Walls y Darrell L. Young. SPIE, 2015. http://dx.doi.org/10.1117/12.2177361.
Texto completoShingai, Yukiya, Fusako Kusunoki, Shigenori Inagaki y Hiroshi Mizoguchi. "Motion Detector Training with Virtual Data for Semi-Automatic Motion Analysis-Elimination of Real Training Data Collection using 3DCG Synthesis". En 2019 13th International Conference on Sensing Technology (ICST). IEEE, 2019. http://dx.doi.org/10.1109/icst46873.2019.9047711.
Texto completoMeng, Yunlong, Yong He, Jingpeng Wu, Shangbin Chen, Anan Li y Hui Gong. "Automatic detection and quantitative analysis of cells in the mouse primary motor cortex". En Twelfth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2014), editado por Qingming Luo, Lihong V. Wang y Valery V. Tuchin. SPIE, 2014. http://dx.doi.org/10.1117/12.2068857.
Texto completoMyers, Audun y Firas A. Khasawneh. "Dynamic State Analysis of a Driven Magnetic Pendulum Using Ordinal Partition Networks and Topological Data Analysis". En ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22441.
Texto completoInformes sobre el tema "Automatic Motion Detection and Analysis"
Robinson, David Gerald. Statistical language analysis for automatic exfiltration event detection. Office of Scientific and Technical Information (OSTI), abril de 2010. http://dx.doi.org/10.2172/983675.
Texto completoButzbaugh, Joshua, Abraham SD Tidwell y Chrissi Antonopoulos. Automatic Fault Detection & Diagnostics: Residential Market Analysis. Office of Scientific and Technical Information (OSTI), septiembre de 2020. http://dx.doi.org/10.2172/1670423.
Texto completoDavis, Larry y Ross Cutler. Real-Time Periodic Motion Detection, Analysis and Application. Fort Belvoir, VA: Defense Technical Information Center, julio de 1999. http://dx.doi.org/10.21236/ada391942.
Texto completoMatsumoto, David, Hyisung C. Hwang, Adam M. Fullenkamp y C. M. Laurent. Human Deception Detection from Whole Body Motion Analysis. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 2015. http://dx.doi.org/10.21236/ada626755.
Texto completoKong, Q. Understanding the Seismic Ground Motion Spatial Variability Using Network Analysis Community Detection. Office of Scientific and Technical Information (OSTI), marzo de 2022. http://dx.doi.org/10.2172/1860919.
Texto completoZhang, Jun. Sequential Analysis of Automatic Target Detection with Classification Algorithms and Optimality of Dynamic Decision Making Under Uncertainty. Fort Belvoir, VA: Defense Technical Information Center, febrero de 2013. http://dx.doi.org/10.21236/ada578207.
Texto completoClausen, Jay, Vuong Truong, Sophia Bragdon, Susan Frankenstein, Anna Wagner, Rosa Affleck y Christopher Williams. Buried-object-detection improvements incorporating environmental phenomenology into signature physics. Engineer Research and Development Center (U.S.), septiembre de 2022. http://dx.doi.org/10.21079/11681/45625.
Texto completoAsari, Vijayan, Paheding Sidike, Binu Nair, Saibabu Arigela, Varun Santhaseelan y Chen Cui. PR-433-133700-R01 Pipeline Right-of-Way Automated Threat Detection by Advanced Image Analysis. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), diciembre de 2015. http://dx.doi.org/10.55274/r0010891.
Texto completoKulhandjian, Hovannes. AI-based Pedestrian Detection and Avoidance at Night using an IR Camera, Radar, and a Video Camera. Mineta Transportation Institute, noviembre de 2022. http://dx.doi.org/10.31979/mti.2022.2127.
Texto completoDeschamps, Henschel y Robert. PR-420-123712-R01 Lateral Ground Movement Detection Capabilities Derived from Synthetic Aperture Radar. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), noviembre de 2014. http://dx.doi.org/10.55274/r0010831.
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