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

TitleOn the design and implementation of a high definition multi-view intelligent video surveillance system
Authors
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
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?
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.
Persistent Identifierhttp://hdl.handle.net/10722/169364
ISBN

 

DC FieldValueLanguage
dc.contributor.authorZhang, Sen_US
dc.contributor.authorChan, SCen_US
dc.contributor.authorQiu, Ren_US
dc.contributor.authorNg, KTen_US
dc.contributor.authorHung, YSen_US
dc.contributor.authorLu, Wen_US
dc.date.accessioned2012-10-18T08:51:31Z-
dc.date.available2012-10-18T08:51:31Z-
dc.date.issued2012en_US
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. 353-357en_US
dc.identifier.isbn978-1-4673-2193-8-
dc.identifier.urihttp://hdl.handle.net/10722/169364-
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.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800540en_US
dc.relation.ispartofIEEE International Conference on Signal Processing, Communications and Computing Proceedingsen_US
dc.rightsCreative Commons: Attribution 3.0 Hong Kong Licenseen_US
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.en_US
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 systemen_US
dc.typeConference_Paperen_US
dc.identifier.emailZhang, S: jeffsz@hku.hken_US
dc.identifier.emailChan, SC: ascchan@hkucc.hku.hken_US
dc.identifier.emailQiu, R: qrd4615@hku.hken_US
dc.identifier.emailNg, KT: wktng@hku.hken_US
dc.identifier.emailHung, YS: yshung@eee.hku.hken_US
dc.identifier.emailLu, W: luwei@tju.edu.cn-
dc.identifier.authorityChan, SC=rp00094en_US
dc.identifier.authorityNg, KT=rp00157en_US
dc.identifier.authorityHung, YS=rp00220en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICSPCC.2012.6335739-
dc.identifier.scopuseid_2-s2.0-84869464584-
dc.identifier.hkuros211941en_US
dc.identifier.spage353-
dc.identifier.epage357-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 130409-

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