Surveillance cameras can be mounted outside the facility to provide the ability to recognize someone wishing to enter the security perimeter area such as a front door or driveway gate. The chapter discusses the applications for cameras. The introduction of digital video recorders (DVRs) has ...
We propose in this paper an approach for recognising either isolated individual, group of people or crowd behaviours in the context of visual surveillance of metro scenes using multiple cameras. In this context, a behaviour recognition module relies on a vision module composed of three tasks: (a...
Video footage constitutes a significant portion of all data in the world. The30 thousand hoursof video uploaded to Youtubeeveryhouris a part of that data; another portion is produced by770 million surveillance camerasglobally. In addition to being plentiful, video data has tremendous capacit...
The sensor is a large format monochromatic electro-optical sensor comprised of a matrix of six cameras. They were mosaicked to form a combined image of the scene. Each camera had a focal length of 105 mm. SAR-Ship-Dataset [Dataset] [Intro] [Note] 中国科学院空天信息研究院王超研究员团队...
and military applications. Mounting video cameras is cheap, but finding available human resources to observe the output is expensive. Although surveillance cameras are already prevalent in banks, stores, and parking lots, video data currently is used only “after the fact” as a forensic tool, thu...
W3-privacy: understanding what, when, and where infer- ence channels in multi-camera surveillance video. Multime- dia Tools and Applications, 68(1):135-158, 2014. 3Saini, M.; Atrey, P.; Mehrotra, S.; Kankanhalli, M. W 3 -privacy: Understanding what, when, and where inference ...
Still, I think we?re going to see these police scientists come back and propose more technical reforms, like additional new capital-intensive technologies: more body cameras, more computerized algorithmic tactical deployment plans, and more surveillance. We need to have a fairly uncompromisin...
Society is rapidly accepting the use of video cameras in many new and varied locations, but effective methods to utilize and manage the massive resulting amounts of visual data are only slowly developing. This paper presents a framework for live video analysis in which the behaviors of surveillan...
We illustrate three scenarios in which ActivityNet can be used to compare algorithms for human activity understanding: untrimmed video classifica- tion, trimmed activity classification and activity detection. 1. Introduction With the growth of online media, surveillance and mo- bile cameras, the a...
Action recognition covers a broad scope of crucial daily life events including web video search, video surveillance, medical diagnosis, elderly care, and sports analytics. Oxford dictionary defines an action as “the fact or process of doing something, typically to achieve an aim” and activity as...