[1]
Zhan Chaohui, Duan Xiaohui, Xu Shuoyu, Song Zheng, and Luo Min, An Improved Moving Object Detection Algorithm Based on Frame Difference and Edge Detection, Fourth International Conference On image and Graphics, 2007, pp.519-523.
DOI: 10.1109/icig.2007.153
Google Scholar
[2]
G. Bradski, A. Kaehler, Learning OpenCV, " O, Reilly Media, (2008).
Google Scholar
[3]
Hu. M. Visual pattern recognition by moment invariants[ J].
Google Scholar
[4]
Rita Cucchiara, Costantino Grana, Massimo Piccardi, and Andrea Prati, Detecting Moving Objects, Ghosts, and Shadows in Video Streams, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 25, NO. 10, OCTOBER 2003. pp.1337-1342.
DOI: 10.1109/tpami.2003.1233909
Google Scholar
[5]
Ren Mingwu, and Sun Han, A Practical Method for Moving Target Detection Under Complex Background,. Computer Engineering, Oct 2005, pp.33-34.
Google Scholar
[6]
J. L. Barron, D. J. Fleet, and S. S. Beauchemin, Performance of optical flow techniques, " Int, l J. Computer Vision, vol. 12(1), p.43–77, February (1994).
DOI: 10.1007/bf01420984
Google Scholar
[7]
M. Yokoyama, T. Poggio, A Contour-Based Moving Object Detection and Tracking", ICCCN , 05 Proceedings of the 14th International Conference on Computer Communications and Networks.
Google Scholar
[8]
K. Toyama, J. Krumm, B. Brumitt, and B. Meyers, Wallfl ower: Principles and practice of background maintenance, Proceedings of the 7th IEEE International Conference on Computer Vision (p.255–261), (1999).
DOI: 10.1109/iccv.1999.791228
Google Scholar
[9]
A. Prati, I. Mikic, M. Trivedi, and R. Cucchiara. Detecting moving shadows: Algorithms and evaluation,. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25: 918–923, (2003).
DOI: 10.1109/tpami.2003.1206520
Google Scholar
[10]
L. Li, W. Huang, I. Y. H. Gu, and Q. Tian, Foreground object detection in changing background based on color co-occurrence statistics, in Proc. IEEE Workshop on Applications of Computer Vision, (2002).
DOI: 10.1109/acv.2002.1182193
Google Scholar
[11]
C. Stauffer and W. E. L. Grimson, Adaptive background mixture models for real-time tracking, in Proc. IEEE Conf. Computer Vision and Pattern Recognition, (1999).
DOI: 10.1109/cvpr.1999.784637
Google Scholar
[12]
A. Elgammal, D. Harwood, and L. Davis, Non-parametric model for background subtraction, in Proc. European Conf. Computer Vision, vol. II, May 2000, p.751–767.
DOI: 10.1007/3-540-45053-x_48
Google Scholar
[13]
T. Horprasert, D. Harwood, and L. Davis. A Statistical Approach for Real-Time Robust Background Subtraction and Shadow Detection, Proceedings of IEEE Frame-Rate Workshop, Kerkyra, Greece, (1999).
Google Scholar
[14]
Cui Yuyong, Zeng Zhiyuan, Liu liu, An object detection algorithm based on the cloud model, Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009, v1, pp.910-912.
DOI: 10.1109/cso.2009.478
Google Scholar