计算机技术﹑电信技术 |
|
|
|
|
适用于目标跟踪的加权增量子空间学习算法 |
钱诚, 张三元 |
浙江大学 计算机科学与技术学院,浙江 杭州 310027 |
|
Weighted incremental subspace learning algorithm suitable for object tracking |
QIAN Cheng, ZHANG San-yuan |
College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China |
[1] DORIN C, VISVANATHAN R, PETER M. Kernelbased object tracking [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(5): 564-577. [2] HANZI W, DAVID S, KONRAD S, et al. Adaptive object tracking based on an effective appearance filter [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(9): 1661-1667. [3] ZHOU H, YUAN Y, ZHANG Y, et al. Nonrigid object tracking in complex scenes [J]. Pattern Recognition Letters, 2009, 30(2): 98-102. [4] 袁广林,薛模根,谢恺,等.基于核函数粒子滤波和多特征自适应融合的目标跟踪[J].计算机辅助设计与图形学学报,2009,21(12): 1774-1784. YUAN Guanglin, XUE Mogen, XIE Kai, et al. Kernelbased particle filter for target tracking with adaptive multiple feature fusion [J]. Journal of ComputerAided Design and Computer Graphics, 2009, 21(12): 1774-1784. [5] 王震宇,张可黛,吴毅,等.基于SVM和Adaboost的红外目标跟踪[J].中国图象图形学报,2007,12(11): 2052-2057. WANG Zhenyu, ZHANG Kedai, WU Yi. Target tracking in infrared image sequences by combining SVM and Adaboost [J]. Journal of Image and Graphics, 2007, 12(11): 2052-2057. [6] ROBERT T C, LIU Y, MARIUS L. Online selection of discriminative tracking features [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(10): 1631-1643. [7] LI Y. On incremental and robust subspace learning [J]. Pattern Recognition, 2004, 37(7): 1509-1518. [8] MICHAEL J B, ALLAN D J. EigenTracking: robust matching and tracking of articulated object using a viewbased representation [J]. International Journal of Computer Vision, 1998, 26(1): 63-84. [9] LEVY A, LINEDENBAUM M. Sequential karhunenloeve basis extraction and its application to images [J]. IEEE Transactions on Image Processing, 2000, 9(8): 1371-1374. [10] DANIJEL S, ALES L. Incremental and robust learning of subspace representations [J]. Image and Vision Computing, 2008, 26(1): 27-38. [11] HO J, LEE K, YANG M, et al. Visual tracking using learned linear subspace [C] ∥Proceedings of 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington DC: IEEE, 2004: 782-789. [12] DAVID A R, LIM J, LIN R, et al. Incremental learning for robust visual tracking [J]. International Journal of Computer Vision, 2008, 77(1): 125-141. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|