caa a22 4500 606190201 CHVBK 20210128100854.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s10776-015-0264-1 doi (NATIONALLICENCE)springer-10.1007/s10776-015-0264-1 Energy-Efficient Distributed Target Tracking in Wireless Video Sensor Networks [Elektronische Daten] [Wu Fang, Dian Wang, Yong Wang] In order to prolong the lifetime of wireless video sensor networks (WVSNs), many methods for visual target tracking are proposed to reduce the energy cost of battery-powered video sensor nodes. Focus on reducing the amounts of image data for computation and communication, this paper presents an energy-efficient method for distributed target tracking in WVSNs. The major contributions of the proposed approach are as follows. First, each activated video node uses real-time background subtraction based on balanced compressive sensing adaptive gaussian mixture Model for target detection. Second, targets in different views are associated by homograph projection of the position and hue histogram. Third, a Sign of Innovation based consensus filter is proposed for distributed target tracking. Experimental results show the method can effectively reduce the energy cost and achieve satisfying performance in real scenes. Springer Science+Business Media New York, 2015 Distributed target tracking nationallicence Wireless video sensor networks nationallicence Compressive sensing nationallicence Target association nationallicence Consensus filter nationallicence Fang Wu Mechanical and Information Department, Suzhou Institute of Trade and Commerce, Suzhou, China aut Wang Dian Faculty of Mechanical and Electronic Information, China University of Geo-Science, Wuhan, China aut Wang Yong Faculty of Mechanical and Electronic Information, China University of Geo-Science, Wuhan, China aut International Journal of Wireless Information Networks Springer US; http://www.springer-ny.com 22/2(2015-06-01), 105-115 1068-9605 22:2<105 2015 22 10776 https://doi.org/10.1007/s10776-015-0264-1 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10776-015-0264-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Fang Wu Mechanical and Information Department, Suzhou Institute of Trade and Commerce, Suzhou, China aut NATIONALLICENCE 700 1- Wang Dian Faculty of Mechanical and Electronic Information, China University of Geo-Science, Wuhan, China aut NATIONALLICENCE 700 1- Wang Yong Faculty of Mechanical and Electronic Information, China University of Geo-Science, Wuhan, China aut NATIONALLICENCE 773 0- International Journal of Wireless Information Networks Springer US; http://www.springer-ny.com 22/2(2015-06-01), 105-115 1068-9605 22:2<105 2015 22 10776