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Erschienen in:
2015 | OriginalPaper | Buchkapitel
A Novel Camera-Based Drowning Detection Algorithm
verfasst von : Chi Zhang, Xiaoguang Li, Fei Lei
Erschienen in: Advances in Image and Graphics Technologies
Verlag: Springer Berlin Heidelberg
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Underwater drowning detection in public swimming pools is a challenging task. To detect drowning swimmers, an implementable real-time detection system with high accuracy is needed. In this paper, we propose a novel camera-based drowning detection algorithm. The input video sequences are obtained from under water cameras. Moving object in the alert zone will be extract from background by background subtraction. The inter-frame based denoising scheme is employed to eliminate complex interferences in the water. Experimental results are shown that the proposed algorithm can detect the drowning swimmer more accurately without massive computations.