Robust Foreground Segmentation from Color Video Sequences Using Background Subtraction with Multiple Thresholds(Videos)

A new robust method to segment foreground regions from color video sequences using multiple thresholds and morphological processes is proposed. Background models are observed for a long time, and their mean and standard deviation are used for background subtraction. Shadow regions are eliminated using color components, and the final foreground silhouette is extracted by smoothing the boundaries of the foreground and eliminating errors in and outside the regions. Experimental results show that the proposed algorithm works very well in various background and foreground situations.

[1]  Larry S. Davis,et al.  A Robust Background Subtraction and Shadow Detection , 1999 .

[2]  Takeo Kanade,et al.  A real time system for robust 3D voxel reconstruction of human motions , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[3]  Andreas Kunz,et al.  blue-c: a spatially immersive display and 3D video portal for telepresence , 2003, ACM Trans. Graph..

[4]  Jianping Fan,et al.  Automatic moving object extraction toward compact video representation , 2000 .

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

[6]  Linda G. Shapiro,et al.  Computer Vision , 2001 .

[7]  Xiaojun Wu,et al.  Real-time dynamic 3-D object shape reconstruction and high-fidelity texture mapping for 3-D video , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[8]  Itaru Kitahara,et al.  An Immersive Free-Viewpoint Video System Using Multiple Outer/Inner Cameras , 2006, Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06).

[9]  Liang-Gee Chen,et al.  Predictive watershed: a fast watershed algorithm for video segmentation , 2003, IEEE Trans. Circuits Syst. Video Technol..

[10]  Azriel Rosenfeld,et al.  Detection and location of people in video images using adaptive fusion of color and edge information , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[11]  Kuntal Sengupta,et al.  Real time detection and recognition of human profiles using inexpensive desktop cameras , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.