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2009 WRI World Congress on Computer Science and Information Engineering
Research on the Design of the Categorization System for Moving Information in Video Stream and Its Implementation
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
The moving objects are what attract most attention in the video surveillance system, and also the key part for study. Currently, the video surveillance system relies much on the subjective initiative of the observers while having the real-time surveillance. In this study, applying the mixture Gaussian model algorithm, the profile image of the moving objects in the picture got from the video surveillance is obtained, and then denoised so as to extract the feature vector
Index Terms:
Moving objects, Categorization, Video Surveillance, Mixture Gaussian
Citation:
Haifeng Li, Zhezhou Yu, Xubing Ma, Rencai Gao, Li Yang, Lingjiang Fang, "Research on the Design of the Categorization System for Moving Information in Video Stream and Its Implementation," csie, vol. 6, pp.406-410, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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