A shadow removal algorithm for ViBe in HSV color space
Yin-Shi Qin, Shui-Fa Sun, Xian-Bing Ma, Song Hu, Bang-Jun Lei
Available Online November 2013.
- https://doi.org/10.2991/icmt-13.2013.119How to use a DOI?
- ViBe algorithm· HSV· shadow removal· ROC curve
- Shadow removal has always been one of the research hot topics in the field of computer vision. Recently, more and more attention was paid on the ViBe (Visual background extraction) foreground extraction algorithm for its simplicity and high speed. However, for the videos with moving cast shadows, the detection performance is not satisfactory. In this paper, a new shadow removal algorithm for ViBe in HSV (Hue, Saturation, Value) color space is proposed. The ratio of H, S and V components between foreground and background is used to determine whether the interest pixels detected by ViBe are shadows or not. For indoor and outdoor videos with moving cast shadows, ROC (Receiver Operating Characteristic) curve is used to evaluate the proposed approach. Experimental results show that the performance has been improved greatly with the proposed shadow removal approach: for the given TPR (True Positive Rate), FPR (False Positive Rate) is improved even by 11 percentages (for video cubicle).
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yin-Shi Qin AU - Shui-Fa Sun AU - Xian-Bing Ma AU - Song Hu AU - Bang-Jun Lei PY - 2013/11 DA - 2013/11 TI - A shadow removal algorithm for ViBe in HSV color space BT - 3rd International Conference on Multimedia Technology(ICMT-13) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/icmt-13.2013.119 DO - https://doi.org/10.2991/icmt-13.2013.119 ID - Qin2013/11 ER -