Understanding and analysing video data from static or mobile surveillance cameras often
requires knowledge of the scene and the camera placement. In this article, we provide a way …

… Today, video surveillance systems produce thousands of terabytes of data. This source of …
large-scale video footage can be exhausting or even pointless. Searching surveillance video …

… of visual scene analysis has evolved video content analysis systems. VCA also known as
video analytics or intelligent video, … system, and environment for analysis of video streams. …

… For foreground analysis, the same Gaussian mixture model is employed to detect the static
… The method was tested on our real time video surveillance system. It is robust and run about …

… In this work, we introduce a complete surveillance system from low-level video analysis to
automated semantic annotation and finally an intelligent end-user interface using Semantic …

… , specifically text, image, audio, and moving video; and seemingly the only major challenges
remaining were multimedia analysis so that we could achieve contentbased access and …

… and video content analysis for visual surveillance applications. … a semantic scene model for
a surveillance region, and have … abstraction of tracking data into a surveillance database. The …

… We leverage motion information to accelerate visual operations during video content
analysis. Such motion-guided speedup can also be applied to other visual operations besides …

… smart surveillance … video analysis to surveillance systems. In this article, we begin with a
discussion on the state-ofthe-art in video analysis technologies as applied to surveillance and …

… biometrics for the analysis of surveillance video. An approach for people tracking between
different non-overlapping un-calibrated cameras based on gait analysis is being described. …