Cast Shadow Removal with GMM for Surface Reflectance Component

Cast shadow on the background is generated by an object moving between a light source and the background. The position and illumination of the source always change with time, while the background is stable. Therefore, features connected with light source always change with time, such as geometry and color. In this paper, we present a shadow removal method by homomorphic model to extract surface reflectance component, which is only connected with background of the scene and is robust to change of light source. We assume that reflectance component fits Gaussian distribution, and then use GMM to model it. Experimental results show that, except dealing with shadow, our method is not sensitive to the change of illumination

[1]  Liang-Gee Chen,et al.  Efficient moving object segmentation algorithm using background registration technique , 2002, IEEE Trans. Circuits Syst. Video Technol..

[2]  Oliver Schreer,et al.  Fast and robust shadow detection in videoconference applications , 2002, International Symposium on VIPromCom Video/Image Processing and Multimedia Communications.

[3]  Tieniu Tan,et al.  Visual Vehicle Tracking Using An Improved EKF , 2002 .

[4]  Max Lu,et al.  Robust and efficient foreground analysis for real-time video surveillance , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[5]  Rita Cucchiara,et al.  Improving shadow suppression in moving object detection with HSV color information , 2001, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585).

[6]  W. Eric L. Grimson,et al.  Adaptive background mixture models for real-time tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[7]  Mohan M. Trivedi,et al.  Detecting Moving Shadows: Algorithms and Evaluation , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Jörn Ostermann,et al.  Detection of Moving Cast Shadows for Object Segmentation , 1999, IEEE Trans. Multim..

[9]  Tieniu Tan,et al.  An Illumination Invariant Change Detection Algorithm , 2002 .

[10]  Nicolas Martel-Brisson,et al.  Moving cast shadow detection from a Gaussian mixture shadow model , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[11]  A. Oppenheim,et al.  Nonlinear filtering of multiplied and convolved signals , 1968 .