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Aggressive motion detection based on normalised Radon transform and online AdaBoost.

Authors :
Jia, C.
Lu, H.
Zhang, R.
Source :
Electronics Letters (Institution of Engineering & Technology). 2/26/2009, Vol. 45 Issue 5, p257-259. 3p. 4 Black and White Photographs, 2 Diagrams.
Publication Year :
2009

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00135194
Volume :
45
Issue :
5
Database :
Academic Search Index
Journal :
Electronics Letters (Institution of Engineering & Technology)
Publication Type :
Academic Journal
Accession number :
36625918
Full Text :
https://doi.org/10.1049/el:20092891