Résumé: CCTV cameras installed for continuous surveillance generate enormous amounts of data daily, forging the term Big Video Data (BVD). The active practice of BVD includes intelligent surveillance and activity recognition, among other challenging tasks. To efficiently address these tasks, the computer vision research This work is supported in part by PR of China Ministry of Education Distinguished Possessor Grant given to Prof. Obaidat under Grant No. MS2017BJKJ003. Javier Del Ser thanks the Basque Government for its funding support through the EMAITEK program. He also receives funding support from the Consolidated Research Group MATHMODE (Grant No. IT1294-19) granted by the Department of Education of the same institution. Updated author affiliations: KHAN MUHAMMAD: Visual Analytics for Knowledge Laboratory, Department of Software, Sejong University, Seoul 143-747, South Korea. TANVEER HUSSAIN Department of Software, Sejong University, Seoul 143-747, South Korea. NEERAJ KUMAR, Thapar Institute of Engineering and Technology, Deemed to be University, Patiala and School of Computer Science University of Petroleum and Energy Studies Dehradun Uttarakhand

Langue: Anglais