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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Vibe Motion Target Detection Algorithm Based on Lab Color Space
verfasst von : Zhiyong Peng, Faliang Chang, Wenhui Dong
Erschienen in: Advances in Image and Graphics Technologies
Verlag: Springer Berlin Heidelberg
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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.