Moving Cast Shadow Detection of Vehicle Using Combined Color Models

Moving cast shadow detection of vehicle is important to vehicle detection and tracking. In this paper, a novel moving cast shadow detection approach using combined color models is proposed. Firstly, the ratio of hue over intensity in HSI color model is used to detect the bright object pixels in foreground regions. Secondly, we employ the theory of photometric color invariants in C₁C₂C₃ color model to distinguish the dark (similar to shadow) and colorful object pixels from shadow pixels. Finally, to improve the accuracy of shadow detection, post processing is used to correct failed shadow and object detection. Experimental results indicate that the proposed method can detect moving cast shadows accurately.