| 基于在线多实例学习的跟踪研究 |
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| 引用本文： | 张颖颖,王红娟,黄义定. 基于在线多实例学习的跟踪研究[J]. 南阳师范学院学报, 2011, 10(12): 35-37 |
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| 作者姓名： | 张颖颖 王红娟 黄义定 |
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| 作者单位： | 南阳师范学院物理与电子工程学院,河南南阳,473061 |
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| 摘 要： | 介绍一种基于在线多实例学习的目标跟踪方法,在线多实例学习在目标跟踪中的应用是采用基于多实例学习的自适应表观模型,解决了训练样本中存在的模糊歧义问题,探讨了处理训练正包中正样本和负样本的问题,指出了今后多实例学习目标跟踪的研究方向．
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| 关 键 词： | 自适应表观模型 在线学习 多实例学习 正包和负包 目标跟踪 |
Study of object tracking with online multiple instance learning |
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| ZHANG Ying-ying,WANG Hong-juan,HUANG Yi-ding. Study of object tracking with online multiple instance learning[J]. Journal of Nanyang Teachers College, 2011, 10(12): 35-37 |
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| Authors: | ZHANG Ying-ying WANG Hong-juan HUANG Yi-ding |
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| Affiliation: | (School of Physics and Electronic Engineering,Nanyang Normal University,Nanyang 473061,China) |
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| Abstract: | A online multi-instance learning-based object tracking approach is presented, multi-instance learning-based adaptive appear model is used by object tracking , the ambiguity of train samples is solved, the problem of positive bag with positive samples and negative samples is pointed, the future study of multi-instance learning-based object tracking is provided. |
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| Keywords: | adaptive appear model online learning multi-instance learning positive bag and negative bag object tracking |
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