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Abstract:
The main research subject in this paper is swimmer detection for visual surveillance of pool. A drowning detection method based on background subtraction is presented in this paper. The consecutive sequence of visual surveillance was obtained by the fixed camera installed in the pool wall. Each pixel is described by Gaussian Mixed Model, set up self-adapted background model and updating timely. When the foreground objects was separated, for getting good results,, the shadows and noises must be removed. The experiments results show that this method is effective to detect the drowners and eliminate the shadows.
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2009 INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE AND SYSTEMS, PROCEEDINGS
ISSN: 2576-3504
Year: 2009
Page: 341-,
Language: English
Cited Count:
WoS CC Cited Count: 13
SCOPUS Cited Count: 23
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 2