Efficient Background Subtraction and Shadow Removal for Monochromatic Video Sequences

This letter presents a new method for background subtraction and shadow removal for grayscale video sequences. The background image is modeled using robust statistical descriptors, and a noise estimate is obtained. Foreground pixels are extracted, and a statistical approach combined with geometrical constraints are adopted to detect and remove shadows.

[1]  Nicolas Martel-Brisson,et al.  Learning and Removing Cast Shadows through a Multidistribution Approach , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Wei Zhang,et al.  Moving cast shadows detection based on ratio edge , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[3]  Shirley Dex,et al.  JR 旅客販売総合システム(マルス)における運用及び管理について , 1991 .

[4]  Rafael C. González,et al.  Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Seong-Ju Kim,et al.  The metrically trimmed mean as a robust estimator of location , 1992 .

[6]  W. Bastiaan Kleijn,et al.  Gaussian mixture model based mutual information estimation between frequency bands in speech , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[7]  Rita Cucchiara,et al.  Detecting Moving Objects, Ghosts, and Shadows in Video Streams , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Soraia Raupp Musse,et al.  A Background Subtraction Model Adapted to Illumination Changes , 2006, 2006 International Conference on Image Processing.

[9]  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).

[10]  Alessandro Leone,et al.  Shadow detection for moving objects based on texture analysis , 2007, Pattern Recognit..

[11]  Wei Zhang,et al.  Moving Cast Shadows Detection Using Ratio Edge , 2007, IEEE Transactions on Multimedia.

[12]  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).

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

[14]  Peter J. Huber,et al.  Robust Statistics , 2005, Wiley Series in Probability and Statistics.

[15]  B. Ripley,et al.  Robust Statistics , 2018, Wiley Series in Probability and Statistics.

[16]  Touradj Ebrahimi,et al.  Cast shadow segmentation using invariant color features , 2004, Comput. Vis. Image Underst..

[17]  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).

[18]  Dan S. Bloomberg IMPLEMENTATION EFFICIENCY OF BINARY MORPHOLOGY , 2002 .

[19]  Yang Wang,et al.  A probabilistic approach for foreground and shadow segmentation in monocular image sequences , 2005, Pattern Recognit..

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

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

[22]  Mohan M. Trivedi,et al.  Moving shadow and object detection in traffic scenes , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.