Abstract
Moving object detection is an important task in real-time video surveillance. However, in real scenario, moving cast shadows associated with moving objects may also be detected, making moving cast shadow detection a challenge for video surveillance. In this paper, we propose an adaptive shadow detection method based on the cast shadow model. The method combines ratio edge and ratio brightness, and reduces computation complexity by the cascading algorithm. It calculates the difference of ratio edge between the shadow region and the background according to the invariability of the ratio edge of object in different light. Experimental results show that our approach outperforms existing methods.
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Acknowledgements
This work was supported in part by National Basic Research Program of China (973 Program): 2009CB320906, in part by National Natural Science Foundation of China: 61025011, 61035001 and 61003165, and in part by Bei**g Natural Science Foundation: 4111003.
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Li, G., Qin, L., Huang, Q. (2013). Adaptive Moving Cast Shadow Detection. In: The Era of Interactive Media. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3501-3_33
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DOI: https://doi.org/10.1007/978-1-4614-3501-3_33
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