[1] Yilmaz A, Javed O, Shah M. Object Tracking: A Survey[J]. ACM Computing Surveys, 2006, 38(4): 1-7. [2] 卞志国, 金立左, 费树岷. 特征融合与视觉目标跟踪[J]. 计算机应用研究, 2010, 27(4): 1537-1539. [3] 张 辉, 赵保军, 唐林波, 等. 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): 1291-1296. [4] 陈善静, 杨 华, 曾 凯, 等. 基于多特征融合的粒子滤波算法研究[J]. 计算机工程, 2011, 37(7): 178-180. [5] 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. [6] Collins R, Liu Yanxi, Leordeanu M. On-line Selection of Discri- minative Tracking Features[J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2005, 27(10): 1631-1643. [7] Yin Zhaozheng, Porikli F, Collins R. Likelihood Map Fusion for Visual Object Tracking[C]//Proc. of the IEEE Workshop on Applications of Computer Vision. [S. l.]: IEEE Press, 2008.
[8] Avidan S. Ensemble Tracking[J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2007, 29(2): 261-262. [9] 程 建, 周 越, 蔡 念, 等. 基于粒子滤波的红外目标跟 踪[J]. 红外与毫米波学报, 2006, 25(2): 113-117. [10] Arulampalam M S, Maskell S, Gordon N, et al. A Tutorial on Particle Filters for Online Nonlinear/non-Gaussian Bayesian Tracking[J]. IEEE Trans. on Signal Processing, 2002, 50(2): 174-188. [11] 冯祖仁, 吕 娜, 李良福. 基于最大后验概率的图像匹配相似性指标研究[J]. 自动化学报, 2007, 33(1): 1-8. [12] Ojala T, Pietikainen M, Maenpaa T. Multiresolution Gray Scale and Rotation Invariant Texture Analysis with Local Binary Patterns[J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2002, 24(7): 971-987. [13] Tan Xiaoyang, Triggs B. Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions[C]//Proc. of AMFG’07. Rio de Janeiro, Brazil: [s. n.], 2007.
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