[1] Bamnett V, Lewis T. Outliers in Statistical Data[M]. Chichester:John Wiley, 1995:584.
[2] Cui Xiongwen, Wu Qinzhang, Jiang Ping, et al. Affine-invariant target tracking based on subspace representation[J]. Infrared and Laser Engineering, 2015, 44(2):769-774. (in Chinese)崔雄文, 吴钦章, 蒋平, 等. 子空间模型下的仿射不变目标跟踪[J]. 红外与激光工程, 2015, 44(2):769-774.
[3]

Hi H, Ling H, Wu Y,, et al. Real time robust l1 tracker using accelerated proximal gradient approach[C]//2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012, 157(10):1830-1837.
[4]

Milan A, Leal-Taix L, Schindler K, et al. Joint tracking and segmentation of multiple targets[C]//2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015:5397-5406.
[5]

Lee J G, Han J, Li X. Trajectory outlier detection:A partition-and-detect framework[C]//IEEE 24th International Conference on Data Engineering, 2008:140-149.
[6]

Yuan G, Xia S, Zhang L, et al. Trajectory outlier detection algorithm based on structural features[J]. Journal of Computational Information Systems, 2011, 11(7):4137-4144.
[7]

Aquino A R de, Alvares L O, Renso C, et al. Towards semantic trajectory outlier detection[C]//Proceedings of GeoInfo, 2013:115-126.
[8]

Liu Z, Pi D, Jiang J. Density-based trajectory outlier detection algorithm[J]. Journal of Systems Engineering and Electronics, 2013, 24(2):335-340.
[9]

Hu H Y, Li Z H. Multi-level trajectory learning for traffic behavior detection and analysis[J]. Journal of the Chinese Institute of Engineers, 2014, 37(8):995-1006.
[10]

Zhang L, Hu Z, Yang G. Trajectory outlier detection based on multi-factors[J]. IEICE Transactions on Information and Systems, 2014, E97.D(8):2170-2173.
[11]

Lee J G, Han J, Whang K Y. Trajectory clustering:a partition-and-group framework[C]//Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data, 2007:593-604.
[12]

Kut A, Birant D. Spatio-temporal outlier detection in large databases[J]. CIT Journal of Computing and Information Technology, 2006, 14(4):291-297.
[13]

Alvar M, Torsello A, Sanchez-Miralles A, et al. Abnormal behavior detection using dominant sets[J]. Machine Vision and Applications, 2014, 25(5):1351-1368.
[14]

Wang Y, Wang D, Chen F. Abnormal behavior detection using trajectory analysis in camera sensor networks[J]. International Journal of Distributed Sensor Networks, 2014, 2014(1):1-9.
[15]

Jeong H, Chang H J, Choi J Y. Modeling of moving object trajectory by spatio-temporal learning for abnormal behavior detection[C]//20118th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2011:119-123.
[16]

Lee J G, Han J, Li X, et al. TraClass:trajectory classification using hierarchical region-based and trajectory-based clustering[J]. Proceedings of the VLDB Endowment, 2008, 1(1):1081-1094.
[17]

Fontes V C, Alencar L A de, Renso C, et al. Discovering trajectory outliers between regions of interest[C]//Proceedings of GeoInfo, 2013:49-60.
[18]

Ester M, Kriegel H P, Sander J, et al. A density-based algorithm for discovering clusters in large spatial databases with noise[C]//Proceedings of Kdd Location, 1996:226-231.
[19]

Chen J, Leung M K, Gao Y. Noisy logo recognition using line segment Hausdorff distance[J]. Pattern Recognition, 2003, 36(4):943-955.