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[1] G. Leduc et al. “Road traffic data: Collections Methods and Applications”, in Working papers on Energy, Transport and Climate Change, 2008 Sách, tạp chí
Tiêu đề: Road traffic data: Collections Methods and Applications”, in "Working papers on Energy, Transport and Climate Change
[2] Y. Benezeth et al, “Review and Evaluation of Commonly-Implemented Background Subtraction Algorithms”, International Conference on Pattern Recognization, 2008 Sách, tạp chí
Tiêu đề: Review and Evaluation of Commonly-Implemented Background Subtraction Algorithms”, "International Conference on Pattern Recognization
[3] J. Heikkila and O. Silven: A real-time system for monitoring of cyclists and pedestrians in: Second IEEE Workshop on Visual Surveillance Fort Collins, Colorado (Jun.1999) pp. 74-81 Sách, tạp chí
Tiêu đề: Second IEEE Workshop on Visual Surveillance
[4] Alan, M. Mclvor, “Background Subtraction Techniques”, Proceedings of Image & Vision Computing New Zealand 2000 IVCNZ’00, Reveal Limited, Auckland, New Zealan, 2000 Sách, tạp chí
Tiêu đề: Background Subtraction Techniques”, "Proceedings of Image "& Vision Computing
[5] B. Lo and S. Velastin, “Automatic congestion detection system for underground platforms,” in Proceedings of 2001 International symposium on intelligent multimedia, video, and speech processing, pp. 158-161, Hong Kong, May 2001 [6] A. Jilmaz et al, “Object tracking: A Survey”, in ACM Computing Surveys, Vol Sách, tạp chí
Tiêu đề: Automatic congestion detection system for underground platforms,” in "Proceedings of 2001 International symposium on intelligent multimedia, video, and speech processing", pp. 158-161, Hong Kong, May 2001 [6] A. Jilmaz et al, “Object tracking: A Survey”, in "ACM Computing Surveys
[7] A. Amer, “Voting-based simultaneous tracking of multiple video objects ”, in IEEE Transactions on circuits and systems for video techonology , Vol. 15, No. 11, November 2005 Sách, tạp chí
Tiêu đề: Voting-based simultaneous tracking of multiple video objects ”, in "IEEE Transactions on circuits and systems for video techonology
[8] M. Peura and J. Iivarinen, “Efficiency of simple shape descriptors,” in Proc. Int. Workshop Visual Form, Capri, Italy, May 1997, pp. 443–451 Sách, tạp chí
Tiêu đề: Efficiency of simple shape descriptors,” in "Proc. Int. "Workshop Visual Form
[9] Massimo Piccardi, “Background subtraction techniques: a review”, IEEE International Conference on Systems, Man and Cybernetics, 2004 Sách, tạp chí
Tiêu đề: Background subtraction techniques: a review”, "IEEE International Conference on Systems
[10] Niel Joubert, “Background modelling and subtraction for object detection in video”, BEng Sci, Stellenbosch University, final year 2009 Sách, tạp chí
Tiêu đề: Background modelling and subtraction for object detection in video”, "BEng Sci
[11] C. Wren et al, “Pfinder:Real-time Tracking of the Human Body", IEEE Trans. on Patt. Anal. and Machine Intell, vol. 19, no. 7, pp. 780-785, 1997 Sách, tạp chí
Tiêu đề: Pfinder:Real-time Tracking of the Human Body
[12] C. Stauffer, W.E.L. Grimson, “Adaptive background mixture models for real- time tracking”, The Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge, MA 02139 Sách, tạp chí
Tiêu đề: Adaptive background mixture models for real-time tracking”, "The Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge
[13] Vu Pham et al, “GPU implementation of Extended Gaussian mixture model for Background subtraction”, Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), 2010 IEEE RIVF International Conference on 2010 Sách, tạp chí
Tiêu đề: GPU implementation of Extended Gaussian mixture model for Background subtraction”, "Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF)
[14] S. Khan and M. Shah, “Tracking people in presence of occlusion,” in Proc. Asian Conf. Computer Vision, Taipei, Taiwan, Jan. 2000, pp. 1132–1137 Sách, tạp chí
Tiêu đề: Tracking people in presence of occlusion,” in "Proc. "Asian Conf. Computer Vision
[15] S. L. Dockstader and A. M. Tekalp, “On the tracking of articulated and occluded video object motion,” J. Real-Time Imaging, vol. 7, no. 5, pp. 415–432, Oct. 2001 Sách, tạp chí
Tiêu đề: On the tracking of articulated and occluded video object motion,” "J. Real-Time Imaging
[16] Z.Zivkovic,” Improved adaptive Gaussian mixture model for background subtraction”, Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on, 2004 Sách, tạp chí
Tiêu đề: Pattern Recognition, 2004. ICPR 2004
[17] B.Duvenhage, “Implementation of the Lucas-Kanade image registration algorithm on a GPU for 3D computational platform stabilization”, Proceedings of the 7 th International Conference on Computer Graphics, Virtual Reality, Visualisation and Interaction in Africa, Pages 83-90 Sách, tạp chí
Tiêu đề: Implementation of the Lucas-Kanade image registration algorithm on a GPU for 3D computational platform stabilization”, "Proceedings of the 7"th" International Conference on Computer Graphics, Virtual Reality, Visualisation and Interaction in Africa
[18] J.Marzat et al, "Real-time dense and accurate parallel optical flow using CUDA." 7th International Conference WSCG. 2009 Sách, tạp chí
Tiêu đề: Real-time dense and accurate parallel optical flow using CUDA
[19] N. Friedman and S. Russell, “Image segmentation in video sequences: A probabilistic approach,” In Proceedings Thirteenth Conf. on Uncertainty in Artificial Intelligence, 1997 Sách, tạp chí
Tiêu đề: Image segmentation in video sequences": A" probabilistic approach,” "In Proceedings Thirteenth Conf. on Uncertainty in Artificial Intelligence
[20] Dempster, A., Laird, N., Rubin, D., “Maximum Likelihood from Incomplete Data via the EM Algorithm,” Journal of the Royal Statistical Society 39(1) (1977) 1–38 Sách, tạp chí
Tiêu đề: Maximum Likelihood from Incomplete Data via the EM Algorithm,” "Journal of the Royal Statistical Society
[21] J. B. MacQueen (1967): "Some Methods for classification and Analysis of Multivariate Observations, Proceedings of 5-th Berkeley Symposium on Mathematical Statistics and Probability", Berkeley, University of California Press, 1:281-297 Sách, tạp chí
Tiêu đề: Some Methods for classification and Analysis of Multivariate Observations, Proceedings of 5-th Berkeley Symposium on Mathematical Statistics and Probability
Tác giả: J. B. MacQueen
Năm: 1967

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