An Adaptive Background Image Generation Method in Complex Environment

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[1]  Massimo Piccardi,et al.  Background subtraction techniques: a review , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[2]  Reinhard Klette,et al.  The Background Subtraction Problem for Video Surveillance Systems , 2001, RobVis.

[3]  Olaf Munkelt,et al.  Adaptive Background Estimation and Foreground Detection using Kalman-Filtering , 1995 .

[4]  Scott A. Brandt,et al.  Visual tracking for intelligent vehicle-highway systems , 1996 .

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

[6]  Nikos Paragios,et al.  Background modeling and subtraction of dynamic scenes , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[7]  Dae-Woon Lim,et al.  Automated detection of all kinds of violations at a street intersection using real time individual vehicle tracking , 2002, Proceedings Fifth IEEE Southwest Symposium on Image Analysis and Interpretation.

[8]  A. Ishimaru,et al.  Retroreflectance from a dense distribution of spherical particles , 1984 .

[9]  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).

[10]  Reinhard Klette,et al.  Robust background subtraction and maintenance , 2004, ICPR 2004.

[11]  Takeo Kanade,et al.  A System for Video Surveillance and Monitoring , 2000 .

[12]  Ronie Navon Process and quality control with a video camera, for a floor-tilling robot , 2000 .