Release Time:2019-03-10  Hits:

Indexed by: Journal Article

Date of Publication: 2009-02-26

Journal: ELECTRONICS LETTERS

Included Journals: Scopus、EI、SCIE

Volume: 45

Issue: 5

Page Number: 257-258

ISSN: 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.