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PSIVT15 Workshop on Video Surveillance(VSWS 2015)

机译:PSIVT15视频监控研讨会(VSWS 2015)

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These contributions have been presented at the First Workshop on Video Surveillance (VSWS2015), held in conjunction with the7th Pacific Rim Symposium on Video and Image Technology (PSIVT 2015), in Auckland, New Zealand, on November 24, 2015. Surveillance can function both as a deterrent to help prevent crime as well as an investigative tool to aid us in identifying the actors and causes of incidents. Surveillance systems record multi-modal evidence and help carry out intelligent analytics to obtain a multi-perspective understanding. It can also alert security staff about security breaches, potentially dangerous events and hazardous situations. These security related events are captured in the content of surveillance video as low-level semantic signals, which bridges the gap between the physical world and the semantic cyberspace. If a picture is worth more than a thousand words, an event is perhaps worth thousands of pictures. Thus, the multi-modal surveillance content can convey invaluable security-related information. Without proper automated means of analyzing this information, it is extremely hard to manually process this big surveillance data for detecting events of interest.
机译:这些贡献已在2015年11月24日与在新西兰奥克兰举行的第七届环太平洋视频和图像技术专题讨论会(PSIVT 2015)一起举行的第一届视频监控研讨会(VSWS2015)上进行了介绍。作为一种有助于预防犯罪的威慑手段,以及一种有助于我们识别事件的参与者和原因的调查工具。监视系统记录多模式证据,并帮助进行智能分析以获得多角度的理解。它还可以警告安全人员有关安全漏洞,潜在危险事件和危险情况的信息。这些与安全相关的事件作为低级语义信号捕获在监视视频的内容中,从而弥合了物理世界和语义网络空间之间的鸿沟。如果一张图片的价值超过一千个单词,那么一个事件可能价值几千个图片。因此,多模式监视内容可以传达宝贵的安全相关信息。如果没有适当的自动手段来分析此信息,则很难手动处理这些大监视数据以检测感兴趣的事件。

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