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论文类型：期刊论文

发表时间：2009-02-26

发表刊物：ELECTRONICS LETTERS

收录刊物：SCIE、EI、Scopus

卷号：45

期号：5

页面范围：257-258

ISSN号：0013-5194

摘要：A framework for human aggressive motion detection in image sequences captured from a single stationary camera is described. Background subtraction, connected chips linking and mean-shift estimation are used to extract target contour information. The binary rectangle containing contour points of the blob-set is transformed into a normalised Radon matrix. With labelled ( normal or aggressive motion) Radon matrix as feature pools an online AdaBoost feature selection is implemented. Using the selected classifiers the human aggressive motion in a frame can be recognised. Experimental results show that the system performs well.