Improved Adaptive Shadow detection Approach in Grayscale Video Sequences

This paper presents an adaptive way for shadow detection. The residual shadow edge appearing in fixed thresholds method is eliminated in our algorithm and the detection performance is better. We first get adaptive thresholds using kmeans clustering, averaging foreground grey level histogram peak value, etc. Based on the adaptive thresholds, foreground pixels satisfying constraints are calculated. These pixels and their 8 connected pixels are marked as shadow pixels. Finally, we remove all the shadow pixels and small area foreground. In this paper, we propose an improvement to an existing shadow detection algorithm. Adaptive method is added and shadow edge is wiped out. The algorithm works well for both indoor and outdoor sequences.