Description: Intelligent video surveillance to detect moving targets against dictionary-based learning presents a background modeling method. Spatial information for each position in the video representation of the scene dictionary learning information combined. Frequent use of background characteristics, will be divided into descriptive words in a dictionary of words and word that describes the foreground background. Structure corresponds to the location of expression dictionary, and the background of the judgment based on the current position of the largest contribution to the dictionary word attributes. According to the results of a dictionary to determine real-time updates. In the public video database compared with conventional background modeling methods, the proposed method can better detect the foreground object
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基于字典学习的背景建模_桑农.pdf
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