Object Tracking And Elimination Using Lod Edge Maps Generated from Modified Canny Edge Maps |
Park, Ji-Hun
(홍익대학교 컴퓨터공학과)
Jang, Yung-Dae (홍익대학교 컴퓨터공학과) Lee, Dong-Hun (홍익대학교 컴퓨터공학과) Lee, Jong-Kwan (홍익대학교 컴퓨터공학과) Ham, Mi-Ok (홍익대학교 컴퓨터공학과) |
1 | N. Paragios and R. Deriche, 'Geodesic active contours and level sets for the detection and tracking of moving objects,' IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol.22, pp. 266-280, 2000 DOI ScienceOn |
2 | J. Park, 'Contour tracking using modified Canny edge maps with level-of-detail,' Lecture Notes in Computer Sciences, Vol.3691, pp. 1-8, 2005 DOI ScienceOn |
3 | M. Kass, A. Witkin, and D. Terzopoulos, 'Snakes: Active contour models,' International Journal of Computer Vision Vol.1, No. 4, pp. 321-331, 1987 DOI |
4 | M. Roh, T. Kim, J. Park, and S. Lee, 'Accurate Object Contour Tracking Based on Boundary Edge Selection,' Pattern Recognition, Vol. 40, No. 3, pp. 931-943, March 2007 DOI ScienceOn |
5 | H. T. Nguyen, M. Worring, R. van den Boomgaard, and A. W. M. Smeulders, 'Tracking nonparameterized object contours in video,' IEEE Trans. on Image Processing, Vol.11, pp. 1081-1091, September 2002 DOI ScienceOn |
6 | J. B. T. M. Roerdink and A. Meijster, 'The watershed transform: Definition, algorithms and parallelization strategies,' Fundamenta Informaticae, Vol.41, pp. 187-228, 2000 |
7 | H. T. Nguyen, M. Worring, and R. van den Boomgaard, 'Watersnakes: energy-driven watershed segmentation,' IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol.25, pp. 330-342, 2003 DOI ScienceOn |
8 | A. Bartoli, N. Dalal, B. Bose and R. Horaud, 'From Video Sequences to Motion Panoramas,' Proceedings of Workshop on Motion and Video Computing, pp. 1-7, 2002 |
9 | Y. Fu, A. T. Erdem, and A. M. Tekalp, 'Tracking visible boundary of objects using occlusion adaptive motion snake,' IEEE Trans. on Image Processing, Vol.9, pp. 2051-2060, 2000 DOI ScienceOn |
10 | N. Peterfreund, 'Robust tracking of position and velocity with kalman snakes,' IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol.21, pp. 564-569, 1999 DOI ScienceOn |