[1] M Isard, A Blake. Condensation-conditional density propagation for visual tracking[J]. International Journal of Computer Vision，1998, 29 (1)：5-28.
[2] Doucet A, Gordon N J, Krishnamurthy V. Particle Filter for State Estimation of Markov linear Systems[J]. IEEE Transaction on Signal Processing, 2001,49(3): 613-624.
[3] Chang C，Ansari R. Kernel particle filter for visual tracking [J]. IEEE Signal Process. Lett，2005，12：42-45.
[4] Zhang B, Tian W F ，Jin Z H. Head tracking based on the integration of two different particle filters[J]. Meas. Sci.Technol. 2006，17：2877-2883.
[5] Maggio E，Cavallaro A Hybrid particle filter and Mean Shift tracker with adaptive transition model[C]//. Proc. IEEE Signal Processing Society Int. Conf. on Acoustics, Speech, and Signal Processing (Philadelphia, USA),2005,2:221-224.
[6] Shan C, Wei Y, Tan T ,et al. Real time handtracking by combining particle filtering and mean shift[C]//. 6th Int. Conf. on Automatic Face and Gesture Recognition，2004：669-674.
[7] J A Cuesta-Albertos，A Nieto-Reyes. The random tukey depth[J]. Comput. Stat. Data Anal, 2008, 52(11):4979-4988.
[8] Aach T, Kaup A Mester R. Statistical model-based change detection in moving video[J]. Signal Processing,1993, 31(2): 165-180.
[10] J A Roecker, G L Phillis. Suboptimal joint probabilistic data association[J]. IEEE Transactions on Aerospace and Electronic Systems, 1993, 29(2)：510-517.
[12] B Zhou, N R Bose. Multi Target tracking in clutter: fast algorithms for data association[J]. IEEE Transactions on Aerospace and Electronic Systems, 1993, 29(2)：352-363.
