Abstract
As Visual Background Extractor (Vibe) is sensitive to illumination change and object shadow and extracts movement area incompletely, this paper proposes a Vibe motion target detection algorithm based on Lab color space. For matching pixels with their background models, the algorithm improves CIE1976Lab color-difference formula by reducing the proportion of brightness difference. Experiments show that the improved color-difference formula is less sensitive to illumination change and object shadow. Then, the algorithm makes use of space consistency of pixels to correct pixel classification results, which improves the anti-noise ability and makes extracted movement area more complete. Experimental results demonstrate that the algorithm proposed has better detection effects both in indoor and outdoor environments.
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Peng, Z., Chang, F., Dong, W. (2015). Vibe Motion Target Detection Algorithm Based on Lab Color Space. 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_6
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DOI: https://doi.org/10.1007/978-3-662-47791-5_6
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