Journal articles on the topic 'Embedded Systems, Computer Vision, Object Classification'
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Medina, Adán, Juana Isabel Méndez, Pedro Ponce, Therese Peffer, and Arturo Molina. "Embedded Real-Time Clothing Classifier Using One-Stage Methods for Saving Energy in Thermostats." Energies 15, no. 17 (August 23, 2022): 6117. http://dx.doi.org/10.3390/en15176117.
Full textSengan, Sudhakar, Ketan Kotecha, Indragandhi Vairavasundaram, Priya Velayutham, Vijayakumar Varadarajan, Logesh Ravi, and Subramaniyaswamy Vairavasundaram. "Real-Time Automatic Investigation of Indian Roadway Animals by 3D Reconstruction Detection Using Deep Learning for R-3D-YOLOv3 Image Classification and Filtering." Electronics 10, no. 24 (December 10, 2021): 3079. http://dx.doi.org/10.3390/electronics10243079.
Full textOsipov, Aleksey, Ekaterina Pleshakova, Sergey Gataullin, Sergey Korchagin, Mikhail Ivanov, Anton Finogeev, and Vibhash Yadav. "Deep Learning Method for Recognition and Classification of Images from Video Recorders in Difficult Weather Conditions." Sustainability 14, no. 4 (February 20, 2022): 2420. http://dx.doi.org/10.3390/su14042420.
Full textZhang, Dong, Alok Desai, and Dah-Jye Lee. "Using synthetic basis feature descriptor for motion estimation." International Journal of Advanced Robotic Systems 15, no. 5 (September 1, 2018): 172988141880383. http://dx.doi.org/10.1177/1729881418803839.
Full textMohan, Navya, and James Kurian. "Design and implementation of shape-based feature extraction engine for vision systems using Zynq SoC." International journal of electrical and computer engineering systems 13, no. 2 (February 28, 2022): 109–17. http://dx.doi.org/10.32985/ijeces.13.2.3.
Full textKalms, Lester, Pedram Amini Rad, Muhammad Ali, Arsany Iskander, and Diana Göhringer. "A Parametrizable High-Level Synthesis Library for Accelerating Neural Networks on FPGAs." Journal of Signal Processing Systems 93, no. 5 (March 15, 2021): 513–29. http://dx.doi.org/10.1007/s11265-021-01651-5.
Full textParise, Cesare V., Cesare V. Parise, and Marc O. Ernst. "Multisensory mechanisms for perceptual disambiguation. A classification image study on the stream–bounce illusion." Multisensory Research 26 (2013): 96–97. http://dx.doi.org/10.1163/22134808-000s0068.
Full textLi, Junfeng, Dehai Zhang, Yu Ma, and Qing Liu. "Lane Image Detection Based on Convolution Neural Network Multi-Task Learning." Electronics 10, no. 19 (September 27, 2021): 2356. http://dx.doi.org/10.3390/electronics10192356.
Full textNayyar, Anand, Pijush Kanti Dutta Pramankit, and Rajni Mohana. "Introduction to the Special Issue on Evolving IoT and Cyber-Physical Systems: Advancements, Applications, and Solutions." Scalable Computing: Practice and Experience 21, no. 3 (August 1, 2020): 347–48. http://dx.doi.org/10.12694/scpe.v21i3.1568.
Full textKim, Iuliia, João Pedro Matos-Carvalho, Ilya Viksnin, Tiago Simas, and Sérgio Duarte Correia. "Particle Swarm Optimization Embedded in UAV as a Method of Territory-Monitoring Efficiency Improvement." Symmetry 14, no. 6 (May 24, 2022): 1080. http://dx.doi.org/10.3390/sym14061080.
Full textDRAPER, BRUCE A., ALLEN R. HANSON, and EDWARD M. RISEMAN. "LEARNING BLACKBOARD-BASED SCHEDULING ALGORITHMS FOR COMPUTER VISION." International Journal of Pattern Recognition and Artificial Intelligence 07, no. 02 (April 1993): 309–28. http://dx.doi.org/10.1142/s0218001493000169.
Full textHirabayashi, Manato, Yukihiro Saito, Kosuke Murakami, Akihito Ohsato, Shinpei Kato, and Masato Edahiro. "Vision-Based Sensing Systems for Autonomous Driving: Centralized or Decentralized?" Journal of Robotics and Mechatronics 33, no. 3 (June 20, 2021): 686–97. http://dx.doi.org/10.20965/jrm.2021.p0686.
Full textJasim, Mohammed Saaduldeen, and Mohammed Chachan Younis. "Object-based Classification of Natural Scenes Using Machine Learning Methods." Technium: Romanian Journal of Applied Sciences and Technology 6 (February 8, 2023): 1–22. http://dx.doi.org/10.47577/technium.v6i.8286.
Full textNiewiadomski, Artur, and Kornel Domeradzki. "Object classification with artificial neural networks: A comparative analysis." Studia Informatica, no. 23 (December 22, 2020): 43–56. http://dx.doi.org/10.34739/si.2019.23.03.
Full textGurwicz, Yaniv, Raanan Yehezkel, and Boaz Lachover. "Multiclass object classification for real-time video surveillance systems." Pattern Recognition Letters 32, no. 6 (April 2011): 805–15. http://dx.doi.org/10.1016/j.patrec.2011.01.005.
Full textKumar, Lalit, and Dushyant Kumar Singh. "Hardware Response and Performance Analysis of Multicore Computing Systems for Deep Learning Algorithms." Cybernetics and Information Technologies 22, no. 3 (September 1, 2022): 68–81. http://dx.doi.org/10.2478/cait-2022-0028.
Full textGhani, Arfan, Rawad Hodeify, Chan H. See, Simeon Keates, Dah-Jye Lee, and Ahmed Bouridane. "Computer Vision-Based Kidney’s (HK-2) Damaged Cells Classification with Reconfigurable Hardware Accelerator (FPGA)." Electronics 11, no. 24 (December 19, 2022): 4234. http://dx.doi.org/10.3390/electronics11244234.
Full textBaldoni, Matteo, Cristina Baroglio, and Davide Cavagnino. "Use of IFS Codes for Learning 2D Isolated-Object Classification Systems." Computer Vision and Image Understanding 77, no. 3 (March 2000): 371–87. http://dx.doi.org/10.1006/cviu.1999.0823.
Full textOmkar, Dr SN, Nikhil Asogekar, and Sudarshan Rathi. "DETECTION, TRACKING AND CLASSIFICATION OF ROGUE DRONES USING COMPUTER VISION." International Journal of Engineering Applied Sciences and Technology 7, no. 3 (July 1, 2022): 11–19. http://dx.doi.org/10.33564/ijeast.2022.v07i03.003.
Full textIvanov, Y. S., S. V. Zhiganov, and N. N. Liubushkina. "Comparative Analysis of Deep Neural Networks Architectures for Visual Recognition in the Autonomous Transport Systems." Journal of Physics: Conference Series 2096, no. 1 (November 1, 2021): 012101. http://dx.doi.org/10.1088/1742-6596/2096/1/012101.
Full textRehman, Amjad, Tanzila Saba, Muhammad Zeeshan Khan, Robertas Damaševičius, and Saeed Ali Bahaj. "Internet-of-Things-Based Suspicious Activity Recognition Using Multimodalities of Computer Vision for Smart City Security." Security and Communication Networks 2022 (October 5, 2022): 1–12. http://dx.doi.org/10.1155/2022/8383461.
Full textGaonkar, Needhi U. "Road Traffic Analysis Using Computer Vision." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (August 31, 2021): 2002–6. http://dx.doi.org/10.22214/ijraset.2021.37630.
Full textTeixeira, Eduardo, Beatriz Araujo, Victor Costa, Samuel Mafra, and Felipe Figueiredo. "Literature Review on Ship Localization, Classification, and Detection Methods Based on Optical Sensors and Neural Networks." Sensors 22, no. 18 (September 12, 2022): 6879. http://dx.doi.org/10.3390/s22186879.
Full textWu, Yirui, Zhouyu M. Meng, hivakumara Palaiahnakote, and Tong Lu. "COMPRESSIVE SENSING BASED CONVOLUTIONAL NEURAL NETWORK FOR OBJECT DETECTION." Malaysian Journal of Computer Science 33, no. 1 (January 31, 2020): 78–89. http://dx.doi.org/10.22452/mjcs.vol33no1.5.
Full textWang, Jinyeong, and Sanghwan Lee. "Data Augmentation Methods Applying Grayscale Images for Convolutional Neural Networks in Machine Vision." Applied Sciences 11, no. 15 (July 22, 2021): 6721. http://dx.doi.org/10.3390/app11156721.
Full textHasan, Mokhtar M., Noor A. Ibraheem, and Noor M. Abdulhadi. "2D Geometric Object Shapes Detection and Classification." Webology 19, no. 1 (January 20, 2022): 1689–702. http://dx.doi.org/10.14704/web/v19i1/web19113.
Full textZedan, Mohammad J. M., Ali I. Abduljabbar, Fahad Layth Malallah, and Mustafa Ghanem Saeed. "Controlling Embedded Systems Remotely via Internet-of-Things Based on Emotional Recognition." Advances in Human-Computer Interaction 2020 (December 5, 2020): 1–10. http://dx.doi.org/10.1155/2020/8895176.
Full textC, Abhishek. "Development of Hexapod Robot with Computer Vision." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (August 31, 2021): 1796–805. http://dx.doi.org/10.22214/ijraset.2021.37455.
Full textLiu, Yu, and King Ngi Ngan. "Embedded wavelet packet object-based image coding based on context classification and quadtree ordering." Signal Processing: Image Communication 21, no. 2 (February 2006): 143–55. http://dx.doi.org/10.1016/j.image.2005.09.001.
Full textLopes, Jessica Fernandes, Leniza Ludwig, Douglas Fernandes Barbin, Maria Victória Eiras Grossmann, and Sylvio Barbon. "Computer Vision Classification of Barley Flour Based on Spatial Pyramid Partition Ensemble." Sensors 19, no. 13 (July 4, 2019): 2953. http://dx.doi.org/10.3390/s19132953.
Full textRaiser, Stefan, Edwin Lughofer, Christian Eitzinger, and James Edward Smith. "Impact of object extraction methods on classification performance in surface inspection systems." Machine Vision and Applications 21, no. 5 (August 27, 2009): 627–41. http://dx.doi.org/10.1007/s00138-009-0205-z.
Full textGururaj, Vaishnavi, Shriya Varada Ramesh, Sanjana Satheesh, Ashwini Kodipalli, and Kusuma Thimmaraju. "Analysis of deep learning frameworks for object detection in motion." International Journal of Knowledge-based and Intelligent Engineering Systems 26, no. 1 (June 8, 2022): 7–16. http://dx.doi.org/10.3233/kes-220002.
Full textMoroz, Mykola, Denys Berestov, and Oleg Kurchenko. "Analysis of visual object tracking algorithms for real-time systems." Advanced Information Technology, no. 1 (1) (2021): 59–65. http://dx.doi.org/10.17721/ait.2021.1.08.
Full textHassan, Adel, and Muath Sabha. "Feature Extraction for Image Analysis and Detection using Machine Learning Techniques." International Journal of Advanced Networking and Applications 14, no. 04 (2023): 5499–508. http://dx.doi.org/10.35444/ijana.2023.14401.
Full textSoudy, Mohamed, Yasmine M. Afify, and Nagwa Badr. "GenericConv: A Generic Model for Image Scene Classification Using Few-Shot Learning." Information 13, no. 7 (June 28, 2022): 315. http://dx.doi.org/10.3390/info13070315.
Full textGao, Hongbo, Bo Cheng, Jianqiang Wang, Keqiang Li, Jianhui Zhao, and Deyi Li. "Object Classification Using CNN-Based Fusion of Vision and LIDAR in Autonomous Vehicle Environment." IEEE Transactions on Industrial Informatics 14, no. 9 (September 2018): 4224–31. http://dx.doi.org/10.1109/tii.2018.2822828.
Full textMing, John, and Bir Bhanu. "ORACLE: An Integrated Learning Approach for Object Recognition." International Journal of Pattern Recognition and Artificial Intelligence 11, no. 06 (September 1997): 961–90. http://dx.doi.org/10.1142/s0218001497000445.
Full textLi, Guoming, Yanbo Huang, Zhiqian Chen, Gary D. Chesser, Joseph L. Purswell, John Linhoss, and Yang Zhao. "Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review." Sensors 21, no. 4 (February 21, 2021): 1492. http://dx.doi.org/10.3390/s21041492.
Full textBarba-Guaman, Luis, José Eugenio Naranjo, and Anthony Ortiz. "Deep Learning Framework for Vehicle and Pedestrian Detection in Rural Roads on an Embedded GPU." Electronics 9, no. 4 (March 31, 2020): 589. http://dx.doi.org/10.3390/electronics9040589.
Full textUrban, David, and Alice Caplier. "Time- and Resource-Efficient Time-to-Collision Forecasting for Indoor Pedestrian Obstacles Avoidance." Journal of Imaging 7, no. 4 (March 25, 2021): 61. http://dx.doi.org/10.3390/jimaging7040061.
Full textAlzahrani, Ali, and Md Al-Amin Bhuiyan. "Feature selection for urban land cover classification employing genetic algorithm." Bulletin of Electrical Engineering and Informatics 11, no. 2 (April 1, 2022): 793–802. http://dx.doi.org/10.11591/eei.v11i2.3399.
Full textUpadhyay, Jatin, Abhishek Rawat, Dipankar Deb, Vlad Muresan, and Mihaela-Ligia Unguresan. "An RSSI-Based Localization, Path Planning and Computer Vision-Based Decision Making Robotic System." Electronics 9, no. 8 (August 17, 2020): 1326. http://dx.doi.org/10.3390/electronics9081326.
Full textBasheer Ahmed, Mohammed Imran, Rim Zaghdoud, Mohammed Salih Ahmed, Razan Sendi, Sarah Alsharif, Jomana Alabdulkarim, Bashayr Adnan Albin Saad, Reema Alsabt, Atta Rahman, and Gomathi Krishnasamy. "A Real-Time Computer Vision Based Approach to Detection and Classification of Traffic Incidents." Big Data and Cognitive Computing 7, no. 1 (January 28, 2023): 22. http://dx.doi.org/10.3390/bdcc7010022.
Full textFang, Hai-Feng, Jin Cao, and Zhi-Yuan Li. "A Small Network MicronNet-BF of Traffic Sign Classification." Computational Intelligence and Neuroscience 2022 (March 18, 2022): 1–10. http://dx.doi.org/10.1155/2022/3995209.
Full textSingh, Prince Kumar. "A Comprehensive Review on Advance Surveillance System." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 3975–79. http://dx.doi.org/10.22214/ijraset.2022.44825.
Full textMurthy, Chinthakindi Balaram, Mohammad Farukh Hashmi, Neeraj Dhanraj Bokde, and Zong Woo Geem. "Investigations of Object Detection in Images/Videos Using Various Deep Learning Techniques and Embedded Platforms—A Comprehensive Review." Applied Sciences 10, no. 9 (May 8, 2020): 3280. http://dx.doi.org/10.3390/app10093280.
Full textL .Vinagreiro, Michel Andre, Edson C. Kitani, Armando Antonio M. Lagana, and Leopoldo R. Yoshioka. "An Acceleration Method based on Deep Learning and Multilinear Feature Space." International Journal of Artificial Intelligence & Applications 12, no. 5 (September 30, 2021): 9–26. http://dx.doi.org/10.5121/ijaia.2021.12502.
Full textVanusha, D., and B. Amutha. "Classification of Diabetic Retinopathy using Capsules." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 29, no. 06 (December 2021): 835–54. http://dx.doi.org/10.1142/s0218488521500379.
Full textYang, Judy X., Lily D. Li, and Mohammad G. Rasul. "Warehouse Management Models Using Artificial Intelligence Technology with Application at Receiving Stage – A Review." International Journal of Machine Learning and Computing 11, no. 3 (May 2021): 242–49. http://dx.doi.org/10.18178/ijmlc.2021.11.3.1042.
Full textBakhshande, Fateme, Daniel Adofo Ameyaw, Neelu Madan, and Dirk Söffker. "New Metric for Evaluation of Deep Neural Network Applied in Vision-Based Systems." Applied Sciences 12, no. 7 (March 23, 2022): 3251. http://dx.doi.org/10.3390/app12073251.
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