[1] H. A. Li, Z. M. Du, Z. L. Li,B. S. Kang, “Research on Aerial Target Recognition and Tracking based on Grey and Textural Features,” Journal of Graphics, Vol. 37, No. 2, pp. 224-229, 2016 [2] H. Wei and H. Q. Guo, “A Target Tracking Algorithm for Medical Images via Sparse Decomposition and Support Vector Machine,”Research & Exploration in Laboratory, 2013 [3] M. Kristan, J. Matas, A. Leonardis, M. Felsberg, L. Cehovin, G. Fernandez, et al., “The Visual Object Tracking Vot2015 Challenge Results,” inProceedings of the IEEE International Conference on Computer Vision Workshops, pp. 1-23, 2015 [4] F. L. Chang, L. Ma,Y. Z. Qiao, “Target Tracking under Occlusion based on Feature Correlation Matching,” Journal of Image and Graphics, Vol. 11, No. 3, pp. 877-882, 2006 [5] X. Yang, J. Liu, P. Y. Zhou,D. Zhou, “Adaptive Particle Filter for Object Tracking based on Fusing Multiple Features,” Journal of Jilin University (Engineering and Technology Edition), Vol. 45, No. 2, pp. 533-539, 2015 [6] H. R. Jia, “Research of Target Tracking Algorithm under Occlusion based on Feature Correlation Matching,” Northeast Normal University, 2009 [7] R. E. Kalman, “A New Approach to Linear Filtering and Prediction Problems,”Journal of Basic Engineering, pp. 35-45, 1960 [8] D. Comaniciu, V. Ramesh,P. Meer, “Real-Time Tracking of Non-Rigid Objects using Mean Shift,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Vol. 2, IEEE, 2000 [9] T. Li, “Research on Video Segmentation under Occlusion,” Jiangnan University, 2012 [10] J. Wang, “Visual Tracking based on Sub-Space Motion Model,” Shangdong University, 2013 [11] B. Xu, D. Kai,T. Hao, “Object Tracking based on Improved Mean Shift and SURF,” Computer Engineering and Applications, Vol. 49, No. 21, pp. 133-137, 2013 [12] Q. C. Dai, X. Y. Feng,J. Liu, “Tracking Method for Object of Partial Occlusion based on Combination of Blob Modelling and Mean-Shif,” Computer Engineering and Applications, Vol. 18, No. 47, pp. 183-185, 2011 [13] W. S. Yu, X. H. Tian, Z. Q. Hou,Y. F. Zha, “Online Visual Tracking based on Local Patch Learning,” Acta Electronica Sinica, Vol. 43, No. 1, pp. 74-78, 2015 [14] Z. Zhou, “Research on Anti-Occluding Target Tracking Algorithm in Complex Background,”Aero Weaponry, No. 6, pp. 36-39, 2007 [15] Y. Liu, Y. F. Zhang,Y. F. Dong, “Anti-Occlusion Algorithm of Tracking Moving Object in Clutter Background,” Chinese Journal of Liquid Crysls and Displays, Vol. 25, No. 6, pp. 890-895, 2010 [16] T. W.Xia and X. Hou, “Robot Moving Target Tracking Algorithm based on Adaptive Kalman Filter,” Computer Measurement & Control, Vol. 23, No. 1, pp. 173-175, 2015 [17] W. J.Liu and Y. J. Zhang, “Edge-Color-Histogram and Kalman Filter-based Real-Time Object Tracking,” Journal of Tsinghua University (Science and Technology), Vol. 48, No. 7, pp. 1104-1107, 2008 [18] X. F. Wang, “Vehicle Tracking Algorithm under Occlusion in Video,” Shandong Normal University, 2013 [19] G. R. Bradski, “Real Time Face and Object Tracking as a Component of a Perceptual User Interface,” inProceedings of the Fourth IEEE Workshop on Applications of Computer Vision, pp. 214-219, 1998 [20] W. Wang and Z. H. Meng, “An Object Tracking Algorithm based on Improved Camshift,” Information Technology, Vol. 1, No. 23, pp. 85-88, 2015 [21] J. X. Huang, W. L. Wu, C. J. Long,M. J. Zhang, “Study of Moving Object Detection in Video and Its Application,” Computer Technology and Development, Vol. 24, No. 3, pp. 15-18, 2014 [22] Q. M. Shi, “Research of Object Tracking based on Camshift,” Anhui University, 2013 [23] P. Vasilis and A. Argyros, “Multiple Objects Tracking in the Presence of Long-Term Occlusions,” Computer Vision & Image Understanding, Vol. 114, No. 7, pp. 835-846, 2010 |