Conference Paper: On the design and implementation of a high definition multi-view intelligent video surveillance system

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Publisher Website: 10.1109/ICSPCC.2012.6335739
Scopus: eid_2-s2.0-84869464584

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Title	On the design and implementation of a high definition multi-view intelligent video surveillance system
Authors	Zhang, S Chan, SC Qiu, R Ng, KT Hung, YS Lu, W
Keywords	Intelligent video surveillance GPU IP camera Video analytics Object tracking AVS
Issue Date	2012
Publisher	IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800540
Citation	The 2012 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Hong Kong, 12-15 August 2012. In IEEE ICSPCC Proceedings, 2012, p. 353-357 [How to Cite?] DOI: http://dx.doi.org/10.1109/ICSPCC.2012.6335739
Abstract	This paper proposes a distributed architecture for high definition (HD) multi-view video surveillance system. It adopts a modular design where multiple intelligent Internet Protocol (IP)-based video surveillance cameras are connected to a local video server. Each server is equipped with storage and optional graphics processing units (GPUs) for supporting high-level video analytics and processing algorithms such as real-time decoding and tracking for the video captured. The servers are connected to the IP network for supporting distributed processing and remote data access. The DSP-based surveillance camera is equipped with realtime algorithms for streaming compressed videos to the server and performing simple video analytics functions. We also developed video analytics algorithms for security monitoring. Both publicly available data set and real video data that are captured under indoor and outdoor scenarios are used to validate our algorithms. Experimental results show that our distributed system can support real-time video applications with high definition resolution.
ISBN	978-1-4673-2193-8
DOI	http://dx.doi.org/10.1109/ICSPCC.2012.6335739

DC Field	Value
dc.contributor.author	Zhang, S
dc.contributor.author	Chan, SC
dc.contributor.author	Qiu, R
dc.contributor.author	Ng, KT
dc.contributor.author	Hung, YS
dc.contributor.author	Lu, W
dc.date.accessioned	2012-10-18T08:51:31Z
dc.date.available	2012-10-18T08:51:31Z
dc.date.issued	2012
dc.description.abstract	This paper proposes a distributed architecture for high definition (HD) multi-view video surveillance system. It adopts a modular design where multiple intelligent Internet Protocol (IP)-based video surveillance cameras are connected to a local video server. Each server is equipped with storage and optional graphics processing units (GPUs) for supporting high-level video analytics and processing algorithms such as real-time decoding and tracking for the video captured. The servers are connected to the IP network for supporting distributed processing and remote data access. The DSP-based surveillance camera is equipped with realtime algorithms for streaming compressed videos to the server and performing simple video analytics functions. We also developed video analytics algorithms for security monitoring. Both publicly available data set and real video data that are captured under indoor and outdoor scenarios are used to validate our algorithms. Experimental results show that our distributed system can support real-time video applications with high definition resolution.
dc.description.nature	published_or_final_version
dc.identifier.citation	The 2012 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Hong Kong, 12-15 August 2012. In IEEE ICSPCC Proceedings, 2012, p. 353-357 [How to Cite?] DOI: http://dx.doi.org/10.1109/ICSPCC.2012.6335739
dc.identifier.doi	http://dx.doi.org/10.1109/ICSPCC.2012.6335739
dc.identifier.epage	357
dc.identifier.hkuros	211941
dc.identifier.isbn	978-1-4673-2193-8
dc.identifier.scopus	eid_2-s2.0-84869464584
dc.identifier.spage	353
dc.identifier.uri	http://hdl.handle.net/10722/169364
dc.language	eng
dc.publisher	IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800540
dc.publisher.place	United States
dc.relation.ispartof	IEEE International Conference on Signal Processing, Communications and Computing Proceedings
dc.rights	Creative Commons: Attribution 3.0 Hong Kong License
dc.rights	©2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
dc.subject	Intelligent video surveillance
dc.subject	GPU
dc.subject	IP camera
dc.subject	Video analytics
dc.subject	Object tracking
dc.subject	AVS
dc.title	On the design and implementation of a high definition multi-view intelligent video surveillance system
dc.type	Conference_Paper

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Author Affiliations

The University of Hong Kong
Tianjin University