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Spatio-temporal constraints for on-line 3D object recognition in videos., , и . Comput. Vis. Image Underst., 113 (12): 1198-1209 (2009)Structured Multi-class Feature Selection for Effective Face Recognition., , , и . ICIAP (1), том 8156 из Lecture Notes in Computer Science, стр. 410-419. Springer, (2013)The complexity of biological motion., , , , , и . ICDL-EPIROB, стр. 66-71. IEEE, (2016)Background modeling through dictionary learning., , , и . ICIP, стр. 2524-2528. IEEE, (2013)Visual recognition for humanoid robots., , , , и . Robotics Auton. Syst., (2017)Visual Computing Methods for Assessing the Well-Being of Older People., , , , , , , , и . VISIGRAPP (Revised Selected Papers), том 997 из Communications in Computer and Information Science, стр. 195-211. Springer, (2018)Real time Vehicle Color Recognition on a budget: an investigation on the usage of CNN architectures., , , , и . AVSS, стр. 1-8. IEEE, (2022)The Effects of Data Sources: A Baseline Evaluation of the MoCA Dataset., , , и . ICIAP (1), том 11751 из Lecture Notes in Computer Science, стр. 544-555. Springer, (2019)Towards the Internet of Safe and Intelligent Postal+ Things., , , , , и . WOA, том 2404 из CEUR Workshop Proceedings, стр. 51-58. CEUR-WS.org, (2019)An Adaptive Video Surveillance Architecture for Behavior Analysis., , и . Eurographics Italian Chapter Conference, стр. 57-64. Eurographics, (2010)