Abstract:

To solve the problem of negative effect of shadows in pedestrian detection,a shadow eliminating algorithm based on blob model is proposed. We first describe the pedestrian model with blob structures,and then compute the blob’s central moments and vertical histogram. With the help of these data and the a geometric method,the suspected shadow region can be obtained.After that,the rough approximation of the shadow region can be further refined through shadow modeling with several features including the intensity,orientation and center position of the shadow region. Finally,shadow blobs can be precisely eliminated from the pedestrian blob model.Experimental results demonstrate that different shadows under different conditions can be eliminated accurately and effectively.   

Key words: shadow eliminating;blob histogram;shadow modeling;pedestrian detection