Moving shadow detection based on multi-feature analysis and gray-scale morphological filtering

作者：Chen Weigang^*

来源：Journal of Information and Computational Science, 2014, 11(8): 2535-2542.

DOI：10.12733/jics20103451

• Morphological filtering
• Motion segmentation
• Moving object segmentation
• Moving shadow detection
• Multi features
• Shadow detections
• Shadow elimination
• Video surveillance systems

For many applications in video surveillance systems, shadow detection is a very important step for enhancing the accuracy of moving object segmentation. This paper proposes a robust multi-feature approach which makes integrated use of intensity, chromacity and texture for shadow elimination. After motion detection, foreground pixels are evaluated by several weak classifiers in a coarse-to-fine manner. In each level, the outputs of the weak classifiers are accumulated and formed as an evidence map. Then shadows are eliminated using a gray-scale morphological filtering. Results on various real surveillance videos show the effectiveness and robustness of the algorithm.

• 出版日期2014