Abstract
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.
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Zhang, C., Li, X., Lei, F. (2015). A Novel Camera-Based Drowning Detection Algorithm. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Di, K. (eds) Advances in Image and Graphics Technologies. IGTA 2015. Communications in Computer and Information Science, vol 525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47791-5_26
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DOI: https://doi.org/10.1007/978-3-662-47791-5_26
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