[1] WANG L, NING H Z, HU W M, TAN T N. Gait Recognition Based on Procrustes Shape Analysis[C]. IEEE Int. Conf. on Image Processing, 2002: 433-436. [2] Haritaoglu I, Harwood D, Davis L.S. Hydra: multiple people detection and tracking using silhouettes[C]. Second IEEE Workshop on Visual Surveillance, 1999: 210-217. [3]王亮, 胡卫明, 谭铁牛. 人运动的视觉分析综述[J]. 计算机学报, 2002, 25(3): 225-237. [WANG Liang, HU Wei-ming, TAN Tie-niu. A survey of visual analysis of human motion[J]. Chinese Journal of Computers, 2002, 25(3): 225-237.] [4] WANG L , NING H, TAN T, HU W. Fusion of static and dynamic body biometrics for gait recognition[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2004, 14(2):149–158. [5] Yilmaz A, Javed O, Shah M.. Object tracking: a survey[J]. ACM Computing Surveys, 2006, 38(4): 11-45. [6] 王亮. 步态分析与识别[D]. 北京:中国科学院,2004. [WANG Liang. Analysis and recognition of gait[D]. Beijing: Chinese Academy of Sciences, 2004. ] [7] 赵明. 二维视觉对象分割[D]. 杭州:浙江大学,2004. [ZHAO Ming. 2D visual object segmentation[D]. Hangzhou: Zhejiang University, 2004. ] [8] ZHAO M, LI S Z, BU J J. Shape evaluation for weighted active shape models[C]. Proceedings of the Asian Conference on Computer Vision, 2004(2): 1074-1079. [9] 常好丽. 运动行人检测与跟踪方法研究[D]. 西安:西北工业大学,2006. [CHANG Hao-li. Research on the method of moving pedestrian detection and tracking[D]. Xi’an: Northwestern Polytechnical University, 2006.] [10] 陆朝霞. 基于Adaboost算法的行人检测方法研究[D]. 西安: 西北工业大学, 2006. [LU Chao-xia Research on the method of pedestrian detection based on adaboost algorithm [D]. Xi’an: Northwestern Polytechnical University, 2006.] [11] 邓士弟. 基于交通视频的运动目标检测和跟踪[D]. 西安:西北工业大学,2007. [DENG Shi-di. Moving objects detection and tracking based on traffic video[D]. Xi’an: Northwestern Polytechnical University, 2007. ] [12] 田广. 基于视觉的行人检测和跟踪技术的研究[D]. 上海:上海交通大学,2007. [TIAN Guang.. Study of visual based pedestrian detection and tracking algorithm[D]. Shanghai: Shanghai Jiaotong University, 2007. ] [13] 李曦, 曹广益, 付晓薇, 朱新坚. 基于实时图像序列的行人跟踪计数方法[J]. 计算机仿真, 2005, 22 (2): 79-85. [LI Xi, CAO Guang-yi, FU Xiao-wei, ZHU Xin-jian. A method of passing people tracking and counting based on real-time image sequence[J]. Computer Simulation, 2005, 22 (2): 79-85. ] [14] 邵春福, 赵熠, 吴戈. 道路交通数据采集技术研究展望[J]. 现代交通技术, 2006, 6: 66-70. [SHAO Chun-fu, ZHAO Yi, WU G.e. Review of road traffic data collection technology[J]. Modern Transportation Technology, 2006, 6: 66-70. ] [15] Shao C F, Zhao Y, Yue H, Zhang X. Study on a vision based system for real-time collection of mixed traffic data[C]. Proceedings of ICTTS’ 2006, Science Press, 2006: 606-614. [16]岳昊, 邵春福, 赵熠, 陈小明. 基于视频序列的行人多目标跟踪方法研究[J]. 交通运输系统工程与信息, 2007, 7(4): 47-51. [YUE Hao, SHAO Chun-fu, ZHAO Yi, CHEN Xiao-ming. A study on moving pedestrian tracking based on video sequences[J]. Journal of Transportation Systems Engineering and Information Technology, 2007, 7(4): 47-51. ] [17] Haritaoglu I, Harwood D, Davis L S. A human body part labeling system using silhouettes [J]. Fourteenth International Conference on Pattern Recognition, 1998(1): 77-82. [18] McKenna S, et al. Tracking groups of people [J]. Computer Vision and Image Understanding, 2000, 80(1): 42-56. [19] Nixon M S, et al. Automatic gait recognition in BIOMETRICS-personal identification in networked society [J]. Kluwer Academic, 1999: 231-249. [20] Winter D A. The Biomechanics and Motor Control of Human Movement[M]. 2nd Eds. John Wiley & Sons, 1990. [21] Bedenas J, Boder M, Pla F. Segmenting traffic scenes from grey level and motion information[J]. Pattern Analysis & Applications, 2001, 4(1): 28-38. [22] Kim J B, Park H S, Park M H, et al. A real-time region-based motion segmentation using adaptive thresholding and k-means clustering[J]. Lecture Notes in Computer Science- AI 2001: Advances in Artificial Intelligence, 2001, 2256: 213-224. [23] Michael Girard, Anthony A Maciejewski. Computational modeling for the computer animation of legged figures[J]. ACM SIGGRAPH’85, Proceedings, 1985,7: 263-270. [24] 洪炳熔, 贺怀清. 虚拟人的步行和跑步运动控制方法的研究[J]. 高技术通讯, 2001, 3: 91-95.[HONG Bing-rong, HE Huai-qing. Research of waling and running locomotion control methods for virtual humans[J]. Chinese High Technology Letters, 2001, 3: 91-95. ] [25]Meyer D, Denzler J, Niemann H. Model based extraction of articulated objects in image sequences for gait analysis[C]. Proc IEEE International Conference on Image Processing,Santa Barbara, California, 1997, 78-81. [26] Viola P, Jones M J, Snow D. Detecting pedestrians using patterns of motion and appearance[J]. Int. J. Comp. Vision, 2005, 63(2):153–161. [27] Dalal N, Triggs B. Histograms of oriented gradients for human detection[C]. IEEE International Conference on Computer Vision and Pattern Recognition, 2005, I: 886–893. [28] Wu Y, Hua T. u, G. . A statistical field model for pedestrian detection [C]. IEEE International Conference on Computer Vision, 2005, I: 1023–1030. [29] Stauffer C, Grimson W E L. Learning patterns of activity using real-time tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(8): 747–757. [30] Hutenlocker P, Rucklidge W. Tracking nonrigid objects in complex scenes[C]. Proc. Int. Conf. Computer Vision (ICCV), 1992:155-163. [31] Chapelle O, Haffner P, Vapnik V N. Support vector machines for histogram-based image classification[C]. IEEE Trans. On Neural networks, 1999, 10(5): 1055–1064. [32] Jang D S, Choi H I. Active models for tracking moving objects[C]. Pattern Recognition, 2000, 33(7): 1135-1146. [33] Isard M, Blake A. CONDENSATION-conditional density propagation for visual tracking[J]. Intl. Journal of Computer Vision, 1998, 29(1): 5-28. [34] Gilbert W J. Modern Algebra with Application[M]. New York: John Wiley & Sons, 1976. [35] Niyogi S A, Adelson E H. Analyzing and recognizing walking figures in XYT[C]. Proc Of IEEE Computer Society Conf on Computer Vision and Pattern Recognition, 1994: 469-474. [36] Rohr K. Towards model-based recognition of human movements in sequences[J]. Computer Vision, Graphics and Image Processing, 1994: 94-115. [37] Bertalmio M, Sapiroo G., Randll G. Morphing active contours[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2000, 22(7): 733-737. [38] Paragios N, Deriche R. Geodesic active contours and level sets for the detection and tracking of moving objects[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2000, 22(3): 266-280. [39] Peterfreund N. Robust tracking of position and velocity with Kalman snakes[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2000, 22(6): 564-569. [40]Wren C R, Azarbayejani A, Darrell T, Pentland A P. Pfinder: Real-time tracking of the human body[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1997,19(7):780-785 [41]Comaniciu D, Ramesh V, Meer P. Kernel-based object tracking [J]. IEEE Trans. Pattern Analysis and Machine Intelligence, 2003, 25 (5): 564-577. [42] Jepson A D,Fleet D J,El-Maraghi T F.Robust online appearance models for visual tracking[J].IEEE Trans on Pattern Analysis and Machine Intelligence,2003,25(10):1296-1311. [43] Segen J, Pingali S. A camera-based system for tracking people in real time[C]. Proc International Conference on Patern Recognition, Vienna, 1996:63-67. [44] Shafique K, Shah M. A noniterative greedy algorithm for multiframe point correspondence[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2005, 27(1): 51-65. [45] 王建军,严宝杰编著. 交通调查与分析[M]. 北京:人民交通出版社,2004. [WANG Jian-jun, YAN Bao-jie. Traffic Survey and Analysis[M]. Beijing: China Communications Press, 2004. ] |