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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 particle filter based sequential trajectory classifier for behavior analysis in video surveillance., , and . ICIP, page 3690-3694. IEEE, (2015)Jammer detection algorithm for wide-band radios using spectral correlation and neural networks., , , , and . IWCMC, page 246-251. IEEE, (2017)Exploiting an event based state estimator in presence of sparse measurements in video analytics., , , and . ICASSP, page 1871-1875. IEEE, (2014)Privacy-Aware Human Activity Recognition From a Wearable Camera: Highlights From the IEEE Video And Image Processing Cup 2019 Student Competition SP Competitions., , , , and . IEEE Signal Process. Mag., 37 (3): 168-172 (2020)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 Cognitive Control-Inspired Approach to Object Tracking., , , and . IEEE Trans. Image Processing, 25 (6): 2697-2711 (2016)Secure Smart Cameras by Aggregate-Signcryption with Decryption Fairness for Multi-Receiver IoT Applications., , and . Sensors, 19 (2): 327 (2019)Jammer detection in M-QAM-OFDM by learning a Dynamic Bayesian Model for the Cognitive Radio., , , , , and . EUSIPCO, page 1-5. IEEE, (2019)