Abstract:
We propose an image processing algorithm for detecting human in outdoor scenes containing changeful background. In this work, regions extracted through background subtrac...View moreMetadata
Abstract:
We propose an image processing algorithm for detecting human in outdoor scenes containing changeful background. In this work, regions extracted through background subtraction procedure are accurately classified into human and others by motion analysis in the three dimensional feature space constructed by the spatial uniqueness of image motion F/sub 1/, the temporal uniqueness of image motion F/sub 2/, and the temporal motion continuity F/sub 3/. Evaluation test proved that proposed algorithm could reduce the error rates of both false positive and false negative to about 1/3 compared with a conventional method. We also tested it in a PC-based real-time system over two weeks in real environments, that resulted in its false negative error rate of less than 1% and false positive error number of less than 3 times per day.
Published in: Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.
Date of Conference: 26-26 August 2004
Date Added to IEEE Xplore: 20 September 2004
Print ISBN:0-7695-2128-2
Print ISSN: 1051-4651