光学 精密工程, 2012, 20 (2): 439, 网络出版: 2012-03-06  

遮挡环境下采用在线Boosting的目标跟踪

On-line boosting based target tracking under occlusion
作者单位
武汉大学 电子信息学院,湖北 武汉 430079
引用该论文

颜佳, 吴敏渊. 遮挡环境下采用在线Boosting的目标跟踪[J]. 光学 精密工程, 2012, 20(2): 439.

YAN Jia, WU Min-yuan. On-line boosting based target tracking under occlusion[J]. Optics and Precision Engineering, 2012, 20(2): 439.

参考文献

[1] 颜佳,陈淑珍,吴敏渊,等. 应用Mean Shift和分块的抗遮挡跟踪[J]. 光学 精密工程, 2010, 18(6): 1413-1419.

    YAN J, CHEN SH ZH, WU M Y, et al.. Anti-occlusion tracking algorithm based on Mean Shift and fragments[J]. Opt. Precision Eng., 2010, 18(6): 1413-1419.(in Chinese)

[2] 王国良,刘金国. 基于粒子滤波的多自由度运动目标跟踪[J]. 光学 精密工程, 2011, 19(4): 864-869.

    WANG G L, LIU J G. Moving object tracking with multi-degree-of-freedom based on particle filters[J]. Opt. Precision Eng., 2011,19(4): 864-869.(in Chinese)

[3] COLLINS R, YANX L, LEORDEANU M. Online selection of discriminative tracking features[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(10): 1631-1643.

[4] AVIDAN S. Ensemble tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(2): 261-271.

[5] GRABNER H, GRABNER M, BISCHOF H. Real-time tracking via on-line boosting[C]. Proceedings of British Machine Vision Conference, 2006,1: 47-56.

[6] 程有龙,李斌,张文聪,等. 融合先验知识的自适应行人跟踪算法[J]. 模式识别与人工智能, 2009, 22(5): 704-708.

    CHENG Y L, LI B, ZHANG W C, et al.. An adaptive pedestrian tracking algorithm with prior knowledge[J]. Pattern Recognition and Artificial Intelligence, 2009, 22(5): 704-708.(in Chinese)

[7] TAKAYOSHI Y, HIRONOBU F, SHIHONG L, et al.. Human tracking based on soft decision feature and online real boosting[C]. 19th International Conference on Pattern Recognition,2008: 1-4.

[8] GRABNER H, LEISTNER C, BISCHOF H. Semi-supervised on-line boosting for robust tracking[C]. Proceedings of Europear Conference on Computer Vision, 2008: 234-247.

[9] GODEC M, GRABNER H, LEISTNER C, et al.. Speeding up semi-supervised on-line boosting for tracking[C]. Proceedings of the Austrian Association for Pattern Recognition,2009: 1-12.

[10] TANG F, BRENNAN S, ZHAO Q, et al.. Co-tracking using semi-supervised support Vector Machines[C]. Computer Vision and Pattern Recognition, IEEE Computer Society Conference,2009: 1-8.

[11] BABENKO B, MING-HSUAN Y, BELONGIE S. Visual tracking with online multiple instance learning[C]. Computer Vision and Pattern Recognition, IEEE Computer Society Conference,2009: 983-990.

[12] FATIH P. Integral histogram: a fast way to extract histograms in Cartesian spaces[C]. Computer Vision and Pattern Recognition, IEEE Computer Society Conference, 2005: 829-836.

[13] ADAM A, RIVLIN E, SHIMSHONI I. Robust fragments-based tracking using the integral histogram[C]. Computer Vision and Pattern Recognition, IEEE Computer Society Conference, 2006,1: 798-805.

颜佳, 吴敏渊. 遮挡环境下采用在线Boosting的目标跟踪[J]. 光学 精密工程, 2012, 20(2): 439. YAN Jia, WU Min-yuan. On-line boosting based target tracking under occlusion[J]. Optics and Precision Engineering, 2012, 20(2): 439.

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