Lampert C H, Blaschko M B, Hofmann T. Beyond sliding windows: object localization by efficient subwindow search. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Anchorage, USA: IEEE, 2008. 1-8
[2]
Li Y, Ai H, Huang C, Lao S. Robust head tracking with particles based on multiple cues. In: Proceedings of the 9th European Conference on Computer Vision Workshop on Human-Computer Interaction. Graz, Austria: Springer, 2006. 29-39
[3]
Birchfield S T, Rangarajan S. Spatial histograms for region-based tracking. ETRI Journal, 2007, 29(5): 697-699
[4]
Yao Z J, Lai Z Y, Liu W Y. A symmetric KL divergence based spatiogram similarity measure. In: Proceedings of the 18th IEEE International Conference on Image Processing. Brussels, Belgium: IEEE, 2011. 197-200
[5]
O'Conaire C, O'Connor N E, Smeaton A F, Jones G. Organising a daily visual diary using multifeature clustering. In: Proceedings of the 19th SPIE Annual Symposium on Electronic Imaging —— Multimedia Content Access: Algorithms and Systems. San Jose, USA: SPIE, 2007. 1-11
[6]
Arulampalam M S, Maskell S, Gordon N, Clapp T. A tutorial on particle filters for online non-linear/non-Gaussian Bayesian tracking. IEEE Transactions on Signal Processing, 2002, 50(2): 174-188
[7]
Dunne P, Matuszewski B J. Choice of similarity measure, likelihood function and parameters for histogram based particle filter tracking in CCTV grey scale video. Image and Vision Computing, 2011, 29(2-3): 178-189
[8]
Zhu Ji-Hua, Zheng Nan-Ning, Yuan Ze-Jian, Zhang Qiang. A SLAM algorithm based on central difference particle filter. Acta Automatica Sinica, 2010, 36(2): 249-257(祝继华, 郑南宁, 袁泽剑, 张强. 基于中心差分粒子滤波的SLAM算法. 自动化学报, 2010, 36(2): 249-257)
[9]
Comaniciu D, Ramesh V, Meer P. Kernel-based object tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(5): 564-577
[10]
CAVIAR test case scenarios [Online], available: http: //groups.inf.ed.ac.uk/vision/CAVIAR/CAVIARDATA1/, March 5, 2011
[11]
Lazebnik S, Schmid C, Ponce J. Beyond bags of features: spatial pyramid matching for recognizing natural scene categories. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. New York, USA: IEEE, 2006. 2169-2178
[12]
Birchfield S T, Rangarajan S. Spatiograms versus histograms for region-based tracking. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego, USA: IEEE, 2005. 1158-1163
[13]
O'Conaire C, O'Connor N E, Smeaton A F. An improved spatiogram similarity measure for robust object localisation. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. Honolulu, USA: IEEE, 2007. 1067-1072
[14]
Yao Zhi-Jun, Liu Jun-Tao, Zhou Yu, Liu Wen-Yu. Symmetric Kullback-Leibler divergence object tracking method. Journal of Huazhong University of Science and Technology (Natural Science), 2011, 39(11): 1-4(姚志均, 刘俊涛, 周瑜, 刘文予. 基于对称KL距离的相似性度量方法. 华中科技大学学报(自然科学版), 2011, 39(11): 1-4)
[15]
Ulges A, Lampert C, Keysers D, Breuel T. Spatiogram-based shot distances for video retrieval. In: Online Proceedings of the Text Retrieval Conference on Video Retrieval Evaluation. Gaithersburg, USA: NIST, 2006. 1-10
[16]
Sundar R S, Rangan C P. Spatiogram based fast mode decision in spatial scalable video coding. In: Proceedings of the 11th Pacific Rim Conference on Multimedia. Shanghai, China: Springer, 2010. 121-135
[17]
Nummiaro K, Koller-Meier E, Gool L V. An adaptive color-based particle filter. Image and Vision Computing, 2003, 21(1): 99-110
[18]
Zhang Gong-Yuan, Cheng Yong-Mei, Yang Feng, Pan Quan, Liang Yan. Design of an adaptive particle filter based on variance reduction technique. Acta Automatica Sinica, 2010, 36(7): 1020-1024
[19]
Hu J S, Juan C W, Wang J J. A spatial-color mean-shift object tracking algorithm with scale and orientation estimation. Pattern Recognition Letters, 2008, 29(16): 2165-2173
[20]
Gan Ming-Gang, Chen Jie, Wang Ya-Nan, Jin Dai-Zhong. A target tracking algorithm based on mean shift and normalized moment of inertia feature. Acta Automatica Sinica, 2010, 36(9): 1332-1336(甘明刚, 陈杰, 王亚楠, 金代中. 基于Mean Shift算法和NMI特征的目标跟踪算法研究. 自动化学报, 2010, 36(9): 1332-1336)
