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Indexed by:期刊论文

Date of Publication:2009-02-26

Journal:ELECTRONICS LETTERS

Included Journals:SCIE、EI、Scopus

Volume:45

Issue:5

Page Number:257-258

ISSN No.:0013-5194

Abstract: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.