A shadow removal algorithm for ViBe in HSV color space

DOI

10.2991/icmt-13.2013.119How to use a DOI?

Keywords

ViBe algorithm· HSV· shadow removal· ROC curve

Abstract

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).

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 959
EP  - 966
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.119
DO  - 10.2991/icmt-13.2013.119
ID  - Qin2013/11
ER  -