Modified Fast Codebook Model

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A fast and effective codebook model (CBM) is proposed to reduce the effect of moving backgrounds and shadows on foreground–background segmentation. A new codebook training strategy is introduced in hue, saturation, and value (HSV) color space to accelerate the training speed. During the foreground detection process, shadow suppression and CBM are combined. Qualitative and quantitative experiments revealed that the proposed model can effectively reduce training time and detect true objects against complex background.
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Moving Target Detection, Fast Codebook Model, HSV Color Space, Shadow Suppression

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Hu Wei-ming, Tan Tie-niu, Wang Liang, S. Maybank,, A survey on Visual Surveillance of Object Motion and Behaviors, Systems, Man, and Cybernetics, Part C: Applications and Reviews, Vol. 34, n. 3, pp. 334- 352, 2004.

C.R. Wren, A. Azarbayejani, T. Darrell, A.P. Pentland, Pfinder: Real-time Tracking of the Human Body, IEEE Transactions on PAMI, Vol. 19, n. 7, pp. 780-785, 1997.

C. Stauffer, W.E.L. Grimson, Adaptive Background Mixture Models for Real-time Tracking, Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (Page: 246-252 Year of Publication: 1999 ISBN:0-7695-0149-4 ).

K Kim, T H Chalidabhongse, D Harwood and L Davis. Real Time Foreground Background Segmentation using Codebook Model, Real-Time Imaging, Vol. 11, n. 3, pp. 172-185, 2005.

XY Fang, B He and B Luo, New Codebook Model Based on HSV Color Space, Journal of Computer Applications, Vol. 31, n. 9, pp. 2497-2501, 2011.

Moez Davodi, Ehsan Reihani, Mehdi Davodi, Determination of Generators Similarity Criterion for Power System Aggregation Using K-Means Clustering Method, International Review on Computers and Software (IRECOS), Vol. 3, n. 6, pp. 1324-1329, 2010(Part A).

Y. Bostani Amlashi, H. Afrakhte, An Efficient Clustering Method in Evaluation of the Electric Energy Consumption from Water Hydrophore Stations, International Review on Computers and Software (IRECOS), Vol. 4, n. 2, pp. 813-818, 2011(Part B).

Reza Rasoolinezhad, Reza Ebrahimpour, Mohammad Bagher Menhaj, Clustering Based World Modelling in Highways, International Review on Computers and Software (IRECOS), Vol. 3, n. 5, pp. 997-1001, 2010(Part A).

R Cucchiara, C Grana, G Neri and A Prati , The Sakbot System for Moving Object Detection and Tracking, Video-based Surveillance Systems –Computer Vision and Distributed Processing (Part II -Detection and Trackink) (Page: 145-158 Year of Publication: 2001 ISBN: 0-7923-7632-3 ).


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