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Wireless video-based sensor networks for surveillance of residential districts

Huang, Guangyan, He, Jing and Ding, Zhiming 2008, Wireless video-based sensor networks for surveillance of residential districts, in APWeb 2008 : Progress in WWW Research and Development ; 10th Asia-Pacific Web Conference, APWeb 2008 Shenyang, China, APril 26-28, 2008 Proceedings, Springer, Berlin, Germany, pp. 154-165, doi: 10.1007/978-3-540-78849-2_18.

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Title Wireless video-based sensor networks for surveillance of residential districts
Author(s) Huang, Guangyan
He, Jing
Ding, Zhiming
Conference name Asia Pacific Conference on Web Technology (10th : 2008 : Shenyang, China)
Conference location Chenyang, China
Conference dates 26-28 Apr. 2008
Title of proceedings APWeb 2008 : Progress in WWW Research and Development ; 10th Asia-Pacific Web Conference, APWeb 2008 Shenyang, China, APril 26-28, 2008 Proceedings
Editor(s) Zhang, Yanchun
Yu, Ge
Bertino, Elisa
Xu, Guandong
Publication date 2008
Series Lecture Notes in Computer Science 4976
Start page 154
End page 165
Total pages 12
Publisher Springer
Place of publication Berlin, Germany
Keyword(s) sensor networks
mining video stream
contrast data mining
Summary 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 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.
ISBN 9783540788485
3540788484
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-540-78849-2_18
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2008, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30083681

Document type: Conference Paper
Collection: School of Information Technology
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