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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)Randomized Binary Consensus with Faulty Agents., and . Entropy, 16 (5): 2820-2838 (2014)A Cognitive Control-Inspired Approach to Object Tracking., , , and . IEEE Trans. Image Processing, 25 (6): 2697-2711 (2016)Bio-inspired relevant interaction modelling in cognitive crowd management., , , and . J. Ambient Intell. Humaniz. Comput., 6 (2): 171-192 (2015)Jammer detection in M-QAM-OFDM by learning a Dynamic Bayesian Model for the Cognitive Radio., , , , , and . EUSIPCO, page 1-5. IEEE, (2019)Collective Awareness for Abnormality Detection in Connected Autonomous Vehicles., , , , , , , and . CoRR, (2020)Secure Smart Cameras by Aggregate-Signcryption with Decryption Fairness for Multi-Receiver IoT Applications., , and . Sensors, 19 (2): 327 (2019)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)Exploiting an event based state estimator in presence of sparse measurements in video analytics., , , and . ICASSP, page 1871-1875. IEEE, (2014)