Cast shadow detection for moving objects based on binocular stereo vision
来源期刊:中南大学学报(英文版)2014年第2期
论文作者:PENG Qi(彭祺) ZHONG Si-dong(仲思东) TU Li-fen(屠礼芬)
文章页码:651 - 658
Key words:cast shadow detection; stereo vision; moving objects; flat ground
Abstract: A novel cast shadow detection approach was proposed. A stereo vision system was used to capture images instead of traditional single camera. It was based on an assumption that cast shadows were on a special plane. The image obtained from one camera was inversely projected to the plane and then transformed to the view from another camera. The points on the plane shared the same position between original image and the transformed image. As a result, the cast shadows can be detected. In order to improve the efficiency of cast shadow detection and decrease computational complexity, the obvious object areas in CIELAB color space were removed and the potential shadow areas were obtained. Experimental results demonstrate that the proposed approach can detect cast shadows accurately even under various illuminations.
PENG Qi(彭祺)1, ZHONG Si-dong(仲思东)1, TU Li-fen(屠礼芬)1
(School of Electronic Information, Wuhan University, Wuhan 430072, China)
Abstract:A novel cast shadow detection approach was proposed. A stereo vision system was used to capture images instead of traditional single camera. It was based on an assumption that cast shadows were on a special plane. The image obtained from one camera was inversely projected to the plane and then transformed to the view from another camera. The points on the plane shared the same position between original image and the transformed image. As a result, the cast shadows can be detected. In order to improve the efficiency of cast shadow detection and decrease computational complexity, the obvious object areas in CIELAB color space were removed and the potential shadow areas were obtained. Experimental results demonstrate that the proposed approach can detect cast shadows accurately even under various illuminations.
Key words:cast shadow detection; stereo vision; moving objects; flat ground