參考文獻 |
[1] M. Kass, A. Witkin and D. Terzopoulos, “Snake: active contour models”, International Journal of Computer Vision, 321-332, 1988.
[2] S. McKenna, S. Jabri, Z. Duric, H. Wechsler and A. Rosenfeld, “Tracking groups of people,” Comput. Vis. Image Understanding, vol. 80, pp. 42-56, 2000.
[3] C. R. Wren, A. Azarbayejani, T. Darrell, and A. P. Pentland, “Pfinder: Real-time tracking of the human body,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, pp. 780-785, 1997.
[4] S. T. Birchfield and S. Rangarajan, “Spatiograms versus histograms for region-based tracking,” IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1158-1163, 2005.
[5] N. Peterfreund, “The Velocity Snake,” Proc. IEEE Nonrigid and Articulated Motion Workshop, Virgin Islands, pp. 70-79, 1997.
[6] N. Peterfreund, “Robust tracking of position and velocity with Kalman snakes,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, pp. 564–569, 2000.
[7] H. Fujiyoshi and A. J. Lipton, “Real-time human motion analysis by image skeletonization,” IEEE Workshop on Application of Computer Vision, pp. 15–21, 1998.
[8] D. S. Jang and H. I. Choi, “Active models for tracking moving objects, ” Pattern Recognition, vol. 33, no. 7, pp. 1135–1146, 2000.
[9] D. Comaniciu , V. Ramesh, P. Meer, “Kernel-based object tracking,” IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 25, no. 5, pp. 564-577, 2003.
[10] I. A. Karaulova, P. M. Hall, and A. D. Marshall, “A hierarchical model of dynamics for tracking people with a single video camera,” in Proc.British Machine Vision Conf, pp. 262–352, 2000.
[11] S. X. Ju, M. J. Black, and Y. Yaccob, “Cardboard people: a parameterized model of articulated image motion,” in Proc. IEEE Int. Conf. Automatic Face and Gesture Recognition, pp. 38–44. 1996.
[12] S. Murali and R. Girisha, “Segmentation of Motion Objects from Surveillance Video Sequences using Temporal Differencing Combined with Multiple Correlation,” in Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, pp. 472-477, 2009.
[13] J. L. Barron, D. J. Fleet, S. S. Beauchemin and T. A. Burkitt, “Performance of optical flow techniques,” Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 236 - 242, 1992.
[14] M. Mueller, P. Karasev, I. Kolesov and A. Tannenbaum, “Optical Flow Estimation for Flame Detection in Videos,” IEEE Transactions on Image Processing, vol. 22, no. 7, pp. 2786-2797, 2013.
[15] D. Comaniciu , V. Ramesh, P. Meer, “Kernel-based object tracking,” IEEE Transaction on Pattern Analysis and Machine Intelligence, vol.25, no. 5, pp. 564-577, 2003.
[16] P. KaewtraKulPong and R. Bowden, “An Adaptive Visual System for Tracking Low Resolution Color Targets,” in Proceedings of British Machine Vision Conference, pp. 243-252, 2001.
[17] I. A. Karaulova, P. M. Hall, and A. D. Marshall, “A hierarchical model of dynamics for tracking people with a single video camera,” in Proc.British Machine Vision Conf, pp. 262–352, 2000.
[18] S. X. Ju, M. J. Black, and Y. Yaccob, “Cardboard people: a parameterized model of articulated image motion,” in Proc. IEEE Int. Conf. Automatic Face and Gesture Recognition, pp. 38–44. 1996.
[19] S. Y. Chen, S. Y. Ma, L. G. Chen, “Efficient moving object segmentation algorithm using background registration technique,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 12, no. 7, pp. 577-586, 2002.
[20] Y. C. Chung, J. M. Wang, and S. W. Chen, “Progressive Background Image Generation,” in Proc. of 15th IPPR Conf. on Computer Vision, Graphics and Image Processing, pp. 858-865, 2002.
[21] L. Maddalena and A. Petrosino, “A Self-Organizing Approach to Background Substraction for Visual Surveillance Applications,” IEEE Transactions on Image Processing, vol.17, no. 7, pp. 1168-1177, 2008.
[22] L. Bischof and R. Adams, “Seeded Region Growing,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 16, no. 6, pp. 641-647, 1994.
[23] M. M. S. J. Preetha, L. P. Suresh and M. J. Bosco, “Image segmentation using seeded region growing,” International Conference on Computing, Electronics and Electrical Technologies (ICCEET), pp. 576-583, 2012.
[24] C. Huang, Q. Liu and X. Li, “Image segmentation using seeded region growing,” Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), pp.533-536, 2010.
[25] Amir Alush and Jacob Goldberger, “Hierarchical Image Segmentation Using Correlation Clustering,” IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 6, June 2016.
[26] Jia-Hao Syu, Sheng-Jyh Wang, Member, IEEE, and Li-Chun Wang, Fellow, IEEE, “Hierarchical Image Segmentation Based on Iterative Contraction and Merging,” IEEE Transactions on Image Processing, vol. 26, no. 5, June 2017.
[27] Ting Liu, Mojtaba Seyedhosseini, and Tolga Tasdizen, Senior Member, IEEE “Image Segmentation Using Hierarchical Merge Tree,” IEEE Transactions on Image Processing, vol. 25, no. 10, October 2016.
[28] CMUcam5 Pixy,http://www.cmucam.org/projects/cmucam5/wiki
[29] 張榮貴,「基於HPSO-TVAC演算法於多目標追蹤系統之研究」,國立中央大學電機系,碩士論文,民國103年。
[30] 顏妙純,「一個即時移動物偵測與追蹤的嵌入式系統」,國立中央大學資訊工程研究所,碩士論文,民國98年。
[31] 顏大鈞,「植基於紋路特徵編碼之紋路分析及彩色影像分割研究」,屏東商業技術學院資訊管理所,碩士論文,民國93年。 |