Vibe Motion Target Detection Algorithm Based on Lab Color Space

摘要

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.