Intelligent Video Surveillance 2009
DOI: 10.1201/9781439813300-c3
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Cited by 6 publications
(3 citation statements)
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“…Subsequent approaches based on intelligent video analytics addresses this situation with sophisticated computer vision algorithms. As the area under surveillance increases, performance issues related to scalability, bandwidth, security, the volume of multimedia data, and risk of a single point of failure [6], prompt an extension or replacement of centralised approaches by distributed strategies [5, 8, 22, 23]. Additionally, the presence of concurrent recognition events, inefficient multimedia data management techniques, and lack of synchronisation associated with the recognition, reasoning, and retrieval mechanisms could dampen the performance of video analytics solutions operating in wide‐area [8].…”
Section: Related Workmentioning
confidence: 99%
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“…Subsequent approaches based on intelligent video analytics addresses this situation with sophisticated computer vision algorithms. As the area under surveillance increases, performance issues related to scalability, bandwidth, security, the volume of multimedia data, and risk of a single point of failure [6], prompt an extension or replacement of centralised approaches by distributed strategies [5, 8, 22, 23]. Additionally, the presence of concurrent recognition events, inefficient multimedia data management techniques, and lack of synchronisation associated with the recognition, reasoning, and retrieval mechanisms could dampen the performance of video analytics solutions operating in wide‐area [8].…”
Section: Related Workmentioning
confidence: 99%
“…Thus the ubiquitous presence of visual sensors in public and private places can form a distributed surveillance system that allows spatio–temporal situation awareness. However, such systems face various challenges caused by redundancy in multimedia data [23]. Song et al .…”
Section: Related Workmentioning
confidence: 99%
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