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Self-awareness in Cyber-Physical Systems: Recent Developments and Open Challenges

, , , , , , and . Design, Automation & Test in Europe Conference & Exhibition (DATE), page 1--6. IEEE, (2023)
DOI: 10.23919/DATE56975.2023.10137197

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A neural network approach for moving objects recognition in color image sequences for surveillance applications., , and . NSIP, page 28-32. Bogaziçi University Printhouse, (1999)Interaction Analysis with a Bayesian Trajectory Model., and . IEEE Intelligent Systems, 25 (3): 32-40 (2010)A Cognitive Control-Inspired Approach to Object Tracking., , , and . IEEE Trans. Image Processing, 25 (6): 2697-2711 (2016)Exploiting ST-Based Representation for High Sampling Rate Dynamic Signals., , , , and . WIDECOM, volume 27 of Lecture Notes on Data Engineering and Communications Technologies, page 203-217. Springer, (2019)A particle filter based sequential trajectory classifier for behavior analysis in video surveillance., , and . ICIP, page 3690-3694. IEEE, (2015)Robust tracking of humans and vehicles in cluttered scenes with occlusions., , , and . ICIP (3), page 629-632. IEEE, (2002)Multisensor surveillance systems based on image and video data., and . ICIP (1), page 497-500. IEEE, (2002)Fast and correspondence-less camera motion estimation based on voting mechanism and morton codes., , and . ICIP, page 745-748. IEEE, (2010)Sparse shapes prototype modeling using genetic algorithms., , and . ICIP, page 1433-1436. IEEE, (2010)Moving objects self-generated illumination variations removal for automatic video-surveillance systems., , and . VCIP, volume 5150 of Proceedings of SPIE, page 414-421. SPIE, (2003)