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Wireless video-based sensor networks for surveillance of residential districts
conference contribution
posted on 2008-05-22, 00:00 authored by Guangyan HuangGuangyan Huang, J He, Z DingCompared 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 video-based 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. © 2008 Springer-Verlag Berlin Heidelberg.
History
Volume
4976 LNCSPagination
154 - 165Publisher DOI
ISSN
0302-9743eISSN
1611-3349ISBN-13
9783540788485ISBN-10
3540788484Publication classification
E Conference publication; E1.1 Full written paper - refereedCopyright notice
2008, SpringerTitle of proceedings
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Usage metrics
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