Abstract Moving shadow detection is critical for video surveillance system since shadow points are often misclassified as object points, which causes errors in segmentation and tracking. The conventional algorithms always need the scene characteristics, which makes the algorithms not widely used and automatically performed. An approach is presented that does not rely on any scene assumptions such as camera location and scene characteristics. Color information, texture information and spatial constraints are embedded to define the overall algorithm. Firstly, relevant areas are identified in each image. Then, the color distortion caused by shadow are calculated. Finally, the moving object and shadow are detected by using color distortion compensation and texture verification. The proposed algorithm is demonstrated on many kinds of outdoor video sequences. Moreover, the performance comparisons show that the proposed algorithm outperforms the conventional ones.
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2007, Vol. 20 
