Wireless video-based sensor networks for surveillance of residential districts

Authors:
Guangyan Huang;Jing He;Zhiming Ding
Affiliations:
Institute of Software, Chinese Academy of Sciences, Beijing, P.R. China;Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing, P.R. China and Computer Science School of Computer Science and Mathematics, Victoria University, Austr ...;Institute of Software, Chinese Academy of Sciences, Beijing, P.R. China
Venue:
APWeb'08 Proceedings of the 10th Asia-Pacific web conference on Progress in WWW research and development
Year:
2008

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Abstract

Compared to traditional wired video sensor networks to supervise a residential district, Wireless Video-based Sensor Networks (WVSN) can provide more detail and precise information while reduce the cost. However, state-of-the-art low cost wireless video-based sensors have very constrained resources such as low bandwidth, small storage, limited processing capability, and limited energy resource. Also, due to the special sensing range of videobased sensors, cluster-based routing is not as effective as it apply to traditional sensor networks. This paper provides a novel real-time change mining algorithm based on an extracted profile model of moving objects learnt from frog's eyes. Example analysis shows the extracted profile would not miss any important semantic images to send to the Base Station for further hazards detection, while efficiently reducing futile video stream data to the degree that nowadays wireless video sensor can realize. Thus it makes WVSN available to surveillance of residential districts.