參考文獻 |
[1] Datong Chen, A.J. Bharucha, H.D. Wactlar. “Intelligent Video Monitoring to Improve Safety of Older Persons,” Proceeding IEEE Conference on Engineering in Medicine and Biology Society, pp.22-26, August 2007.
[2] Yuan-Fang Wang, Edward Y. Chang Ken P. Cheng. “A Video Analysis Framework for Soft Biometry Security Surveillance,” Proceedings of the third ACM international workshop on Video surveillance & sensor networks, pp.71-78, 2005.
[3] Tao Yang, Francine Chen, Don Kimber, Jim Vaughan, “Robust People Detection And Tracking In A Multi-Camera Indoor Visual Surveillance System,” Proceeding IEEE International Conference on Multimedia and Expo, pp.675-678, July 2007.
[4] Theo Gevers, Arnold W.M. Smeulders. “Color-based object recognition,” Proceeding ACM Conference on Image Analysis and Processing, Vol. 1, pp.319-326, 1997.
[5] Thomas Wiegand, Gary J.Sullivan, Gisle Bjontegaard,Luthra. “Overview of the H.264/AVC Video Coding Standard,” IEEE Transactions on Circuits and Systems for Video Technology, 2003.
[6] I. Haritaoglu, D. Harwood, and L. Davis. “W4: Real-time surveillance of people and their activities,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, Issue 8, pp.809–830 , August 2000.
[7] C. Stauffer and W. Grimson. “Learning patterns of activity using real-time tracking,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, Issue 8, pp.747–757, August 2000.
[8] K. Karmann and A. V. Brandt. “Moving object recognition using an adaptive background memory,” Time-Varing Image Processing and Moving Object Recognition, Elsevier Science Publishers, Vol. 2, pp.289–296, 1990.
[9] D. Koller, J. Weber, T. Huang, J. Malik, G. Ogasawara, B. Rao, and S. Russel. “Toward robust automatic traffic scene analysis in real-time,” Proceeding IEEE Conference on Pattern Recognition, pp.126–131 Vol. 1, 1994.
[10] C. Wren, A. Azarbaygaui, T. Darrell, and A. Paul Pentland. “Real-time tracking of the human body,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.19, Issue 7, pp.780–785, July 1997.
[11] Chris Stauffer, W.E.L Grimson. “Adaptive background mixture models for real-time tracking,” Proceeding IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 2, p.205, 1999.
[12] Jwu-Shen Hu, Shr-Chi Jeng. A GMM-based Method For Dynamic Background Image Model Construction with Shadow Removal, Dissertations and Theses, Department of Electrical and Control Engineering, National Chiao Tung University, 2005.
[13] Jui-Hsiang Hsu, Moving Object Detection Using Gaussian Mixture Models, Dissertations and Theses, Department of Electrical Engineering, National Taiwan University of Science and Technology, January 2007.
[14] Mohammad Reza Javan, Seyed Mahdi Bouzari, Ahmad Salahi. “An Efficient Object Segmentation Algorithm for Surveillance Systems,” Proceeding IEEE Symposium on Signals, Circuits and Systems, Vol. 2, pp.1-4, 2007.
[15] Liyuan Li, Weimin Huang, Irene Y. H. Gu, Qi Tian, “Foreground Object Detection from Videos Containing Complex Background,” Proceeding of the eleventh ACM international conference on Multimedia, pp.2-10, 2003.
[16] Comaniciu, D., Ramesh, V., Meer, P., “Real-time tracking of non-rigid objects using mean shift,” Proceeding IEEE Conference on Computer Vision and Pattern Recognition, Vol. 2, pp.13-15, June 2000.
[17] Rafael C. G, Richard E. W., Digital Image Processing, Pearson Prentice Hall, 2001.
[18] From Wikipedia, the free encyclopedia, http://en.wikipedia.org/wiki/Rgb , visit time: 15 November 2009.
[19] From Wikipedia, the free encyclopedia, http://en.wikipedia.org/wiki/HSL_and_HSV , visit time: 15 November 2009.
[20] Yaron Ukrainitz & Bernard Sarel. “Mean Shift Theory and Application” http://www.wisdom.weizmann.ac.il/~vision/courses/2004_2/files/mean_shift/mean_shift.ppt , visit time: 15 November 2009. |