Use of fast algorithm for adaptive background modeling with Parzen density estimation to detect objects
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Atsushi Shimada | Rin-ichiro Taniguchi | Yoichi Tomiura | Daisaku Arita | Tatsuya Tanaka | R. Taniguchi | Atsushi Shimada | Yoichi Tomiura | Daisaku Arita | T. Tanaka
[1] Jie Yang,et al. A Novel Adaptive Gaussian Mixture Model for Background Subtraction , 2005, IbPRIA.
[2] 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).
[3] Katsushi Ikeuchi,et al. Illumination normalization with time-dependent intrinsic images for video surveillance , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] L. Davis,et al. Background and foreground modeling using nonparametric kernel density estimation for visual surveillance , 2002, Proc. IEEE.