Edge-Based Moving Shadow Removal Algorithm for Indoor Video Sequence

Han Chong · 2006

Because the moving shadows usually were extracted along with objects by motion detection algorithms,an edge-based approach to remove moving shadows for indoor sequences is proposed. Firstly,edges of input images are found using Canny operator and the input image is segmented according to gradient magnitude.Next,the moving edges of real moving object are obtained using moving edge properties,then the part boundaries of real foregrounds near the moving edges are found.Finally,the complete foreground objects are constructed by means of the proposed border tracing technique,thus the moving object detection exactitude is improved.Simulation results show that the proposed method can effectively separate the moving objects from their shadows caused by different distances of the lamp-house,diverse shadows directions and foreground colors.

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