基于自适应多特征整合的红外目标跟踪
[1] . Comaniciu,V. Ramesh,P. Meer. Kernel-based object tracking[J]. IEEE T. Pattern Anal., 2003, 25(5): 564-577.
[2] . Hager,P. Belhumeur. Efficient region tracking with parametric models of geometry and illumination[J]. IEEE T. Pattern Anal., 1998, 20(10): 1025-1039.
[3] . Arulampalam,S. Maskell,N. Gordon et al.. A tutorial on particle filters for on-line non-linear/non-Gaussian bayesian tracking[J]. IEEE Trans. Signal Processing, 2002, 50(2): 174-189.
[4] 管志强,陈钱,钱惟贤 等. 一种基于算法融合的红外目标跟踪方法[J]. 光学学报,2008,28(5):860-865
[5] 徐蓉萍,杨磊. 红外复杂背景中一种融合两类跟踪框架优点的小目标跟踪算法[J]. 红外与毫米波学报,2008,27(5):354-360
Xu Rongping,Yang Lei. Small target tracking approach combined the merits of two tracking frameworks under infrared complex background [J]. J. Infrared Millim. Waves.,2008,27(5):354-360
[6] 李秋华,鲁新平,沈振康 等. 基于算法融合的红外成像目标稳健跟踪方法[J]. 系统工程与电子技术,2006,28(4):620-625
Li Qiuhua,Lu Xinping,Shen Zhenkang et al.. Method for IR imaging target robust tracking based on algorithm fusion [J]. Systems Engineering and Electronics,2006,28(4):620-625
[7] . Dawoud,M. Alam,A. Bal et al.. Target tracking in infrared imagery using weighted composite reference function-based decision fusion[J]. IEEE Trans. Image Processing, 2006, 15(2): 404-410.
[8] V. Venkataraman,Guoliang Fan,Xin Fan. Target tracking with online feature selection in FLIR Imagery [C]. Proc. IEEE Conf. on Computer Vision and Pattern Recognition,2007. 3466-3473
[9] . Yilmaz,K. Shafique,M. Shah. Tracking in airborne forward looking infrared imagery[J]. Image Vision Comput., 2003, 21(7): 623-635.
[10] . Brasnett,L. Mihaylova,D. Bull et al.. Sequential monte carlo tracking by fusing multiple cues in video sequences[J]. Image Vision Comput., 2007, 25(8): 1217-1227.
[11] . Spengler,B. Schiele. Towards robust multi cue integration for visual tracking[J]. Mach. Vision and Appl., 2003, 14(1): 50-58.
[12] . Maggio,F. Smerladi,A. Cavallaro. Adaptive multifeature tracking in a particle filtering framework[J]. IEEE T. Circ. Syst. Vid., 2007, 17(10): 1348-1359.
[13] N. Dalal,B. Triggs. Histograms of oriented gradients for Human detection [C]. Proc. IEEE Conf. on Computer Vision and Pattern Recognition,2005. 886-893
[14] B. Jhne,H. Hauecker,P. Geiler. Handbook of Computer Vision and Applications [M]. New York:Academic,1999. 125-151
[15] F. Porikli. Integral histogram:a fast way to extract histograms in cartesian spaces [C]. Proc. IEEE Conf. on Computer Vision and Pattern Recognition,2005. 829-836
张辉, 赵保军, 唐林波, 李建科. 基于自适应多特征整合的红外目标跟踪[J]. 光学学报, 2010, 30(5): 1291. Zhang Hui, Zhao Baojun, Tang Linbo, Li Jianke. Infrared Object Tracking Based on Adaptive Multi-Features Integration[J]. Acta Optica Sinica, 2010, 30(5): 1291.
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