[1] Zhao Qian, Yuan Jianquan, Lu Xinping, et al. Moving object tracking algorithm based on object estimation and mean shift theory[J]. Infrared and Laser Engineering, 2010, 39(6): 1152-1156. (in Chinese) 赵倩, 袁健全, 鲁新平, 等. 结合目标预估计与Mean Shift理论的运动目标跟踪算法[J]. 红外与激光工程, 2010, 39(6): 1152-1156.
[2]
[3]
[4] Meng Gang, Jiang Zhiguo, Zhao Danpei. Histogram of oriented gradients and submanifold applications in object tracking[J]. Infrared and Laser Engineering, 2012, 41(6): 1664-1668. (in Chinese) 孟钢, 姜志国, 赵丹培. 梯度方向直方图和子流形在目标跟踪中的应用[J]. 红外与激光工程, 2012, 41(6): 1664-1668.
[5]
[6] Hu W M, Tan T N, Wang L, et al. A survey on visual surveillance of object motion and behaviors[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 2004, 34(3): 334-352.
[7]
[8] Yilmaz A, Javed O, Shah M. Object tracking: a survey[J]. ACM Computing Surveys, 2006, 38(4): 229-240.
[9] Xue K, Liu Y, Ogunmakin G, et al. Panoramic gaussian mixture model and large-scale range background subtraction method for PTZ camera-based surveillance systems[J]. Machine Vision and Application, 2012, 11(4): 1-16.
[10]
[11]
[12] Kumar P, Dick A, Sheng T S. Real time target tracking with pan tilt zoom camera[C]//Digital Image Computing: Techniques and Applications, 2009: 492-497.
[13] Varcheie P D Z, Bilodeau G A. People tracking using a network-based PTZ camera[J]. Machine Vision and Application, 2011, 22(4): 671-690.
[14]
[15]
[16] Bernardin K, Camp F V D, Stiefelhagen R. Automatic person detection and tracking using fuzzy controlled active cameras [C]//IEEE Conference on Computer Vision and Pattern Recognition, 2007: 1-8.
[17] Zhang Z Y. A flexible new technique for camera calibration [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 11(11): 1330-1334.
[18]
[19] Sinha S, Pollefeys M. Towards calibrating a pan-tilt-zoom cameras network[C]//European Conference on Computer Vision Workshop, 2004: 1-11.
[20]
[21]
[22] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91-110.
[23]
[24] Bay H, Ess A, Tuytelaars T, et al. Speeded-up robust features(SURF)[J]. Computer Vision and Image Understanding, 2008, 110(3): 346-359.
[25] Levenberg K. A method for the solution of certain nonlinear problems in least squares[J]. Quarterly of Applied Mathematics, 1994, 2(2): 164-168.
[26]
[27]
[28] Stauffer C, Grimson W. Learning patterns of activity using real-time tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(8): 747-757.
[29]
[30] Fischler M A, Bolles R C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography[J]. Communications of the ACM, 1981, 24(6): 381-395.
[31] Stein G, Romano R, Lee L. Monitoring activities from multiple video streams: establishing a common coordinate frame[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(8): 758-767.
[32]
[33]
[34] Comaniciu D, Ramesh V, Meer P. Real-time tracking of non-rigid objects using mean shift[C]//IEEE Conference on Computer Vision and Pattern Recognition, 2000: 142-149.
[35] Dubuisson M P, Jain A K. Contour extraction of moving objects in complex outdoor scenes[J]. International Journal of Computer Vision, 1995, 14(1): 83-105.