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Tensor-based modeling and computation emerge prominently with urgent demands from practical applications in the big data era. With the intrinsic sparsity in real data sets and the dimensionality reduc...
At present, intelligent video analysis technology has been widely used in various fields. Object tracking is one of the important part of intelligent video surveillance, but the traditional target tra...
Three-dimensional information from dense image matching is a valuable input for a broad range of vision applications. While reliable approaches exist for dedicated stereo setups they do not easily gen...
This paper considers a statistical approach to define pseudo-moving (false) objects in video surveillance systems by constructing systems of hypothesis with the criteria based on statistical behaviora...
This paper presents a motion detection and object tracking technique for digital video surveillance applications. Motion analysis algorithms are based on processing of multiple-regression pseudospectr...
What do the phrases “reality television and “workplace privacy,” have in common? Both phrases, in large part due to improvements in technology, are misnomers. While most savvy reality show viewers ...
In this paper, a real-time background modeling and maintenance based human motion detection and analysis in an indoor and an outdoor environments for visual surveillance system is described. The syste...
OAK RIDGE, Tenn., May 17, 2007 — Surveillance systems take on a new look with a technology developed by researchers at the Department of Energy’s Oak Ridge National Laboratory.

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