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Conference Paper: On the design and implementation of a high definition multi-view intelligent video surveillance system
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TitleOn the design and implementation of a high definition multi-view intelligent video surveillance system
 
AuthorsZhang, S1
Chan, SC1
Qiu, R
Ng, KT1
Hung, YS1
Lu, W2
 
KeywordsIntelligent video surveillance
GPU
IP camera
Video analytics
Object tracking
AVS
 
Issue Date2012
 
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800540
 
CitationThe 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
 
AbstractThis 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.
 
ISBN978-1-4673-2193-8
 
DOIhttp://dx.doi.org/10.1109/ICSPCC.2012.6335739
 
DC FieldValue
dc.contributor.authorZhang, S
 
dc.contributor.authorChan, SC
 
dc.contributor.authorQiu, R
 
dc.contributor.authorNg, KT
 
dc.contributor.authorHung, YS
 
dc.contributor.authorLu, W
 
dc.date.accessioned2012-10-18T08:51:31Z
 
dc.date.available2012-10-18T08:51:31Z
 
dc.date.issued2012
 
dc.description.abstractThis 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.naturepublished_or_final_version
 
dc.identifier.citationThe 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.doihttp://dx.doi.org/10.1109/ICSPCC.2012.6335739
 
dc.identifier.epage357
 
dc.identifier.hkuros211941
 
dc.identifier.isbn978-1-4673-2193-8
 
dc.identifier.scopuseid_2-s2.0-84869464584
 
dc.identifier.spage353
 
dc.identifier.urihttp://hdl.handle.net/10722/169364
 
dc.languageeng
 
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800540
 
dc.publisher.placeUnited States
 
dc.relation.ispartofIEEE International Conference on Signal Processing, Communications and Computing Proceedings
 
dc.rightsCreative 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.subjectIntelligent video surveillance
 
dc.subjectGPU
 
dc.subjectIP camera
 
dc.subjectVideo analytics
 
dc.subjectObject tracking
 
dc.subjectAVS
 
dc.titleOn the design and implementation of a high definition multi-view intelligent video surveillance system
 
dc.typeConference_Paper
 
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<item><contributor.author>Zhang, S</contributor.author>
<contributor.author>Chan, SC</contributor.author>
<contributor.author>Qiu, R</contributor.author>
<contributor.author>Ng, KT</contributor.author>
<contributor.author>Hung, YS</contributor.author>
<contributor.author>Lu, W</contributor.author>
<date.accessioned>2012-10-18T08:51:31Z</date.accessioned>
<date.available>2012-10-18T08:51:31Z</date.available>
<date.issued>2012</date.issued>
<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</identifier.citation>
<identifier.isbn>978-1-4673-2193-8</identifier.isbn>
<identifier.uri>http://hdl.handle.net/10722/169364</identifier.uri>
<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.</description.abstract>
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<subject>Intelligent video surveillance</subject>
<subject>GPU</subject>
<subject>IP camera</subject>
<subject>Video analytics</subject>
<subject>Object tracking</subject>
<subject>AVS</subject>
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Author Affiliations
  1. The University of Hong Kong
  2. Tianjin University