… vision of a collaborative intelligent crosscamera video analytics at the edge, a paradigm
where video nodes are used to enable collaborative execution of machine intelligence tasks on …

… automate video surveillance. The work holds its importance since the camera surveillance
under … From the experimental analysis, we infer that the detection rate of the proposed hybrid …

… video analytics and intelligent video systems (IVS). We evaluated the state-of-the-art approach
to video analytics … pattern recognition, computer vision, mathematical modelling, artificial …

… and transportation infrastructure cameras, video analytics has come to play an … , video
analytics is to collectively leverage the advanced computer vision (CV) and artificial intelligence (AI…

… abilities of computer vision technology, we have the expertise to mine this visual data to …
In this section, we explore the intelligent video surveillance frameworks for both academic …

… intelligent analytics, VCM attempts to bridge the gap between feature coding for machine
vision and video coding for human vision. … to satisfy various intelligent video analytics tasks, by …

… For now, we only work on computer vision applications in the smart home scenario, but
EdgeEye’s architecture is also useful for other scenarios, such as city deployment and …

… intelligent video surveillance system to identify, detect and alert the abnormal object and
human exists in the video… of computer vision in MATLAB is used for read the video, segment the …

… Several of the concepts and ideas discussed in this paper are applicable more broadly to
computer vision systems, but we focus on IVS systems. Fig. 2 illustrates the typical flow-chart of …

… video content analysis of a crowded scene has been an active research area in the field of
computer vision in … , conventional computer vision techniques for video surveillance cannot be …