Spatial pyramid based histogram representation for visual tracking with partial occlusion
文献类型：会议论文
| 作者 | Lili Ma; Jinqiao Wang ; Jing Liu; Hanqing Lu
|
| 出版日期 | 2009 |
| 会议日期 | November 23-25, 2009 |
| 会议地点 | Kunming, Yunnan, YT, China |
| 关键词 | Partial Occlusion Pyramid Tracking |
| 英文摘要 | We propose a pyramid based representation together with a partial weighted similarity measure to address the partial occlusion problem in visual tracking. In current histogram based tracking methods, due to the lost of spatial information, occlusion cannot be handled very well. In this paper, the spatial pyramid based histogram representation is introduced into the Bayesian inference framework, in which approximate global spatial information is retained and multi-scale information is explored. Correspondingly, considering that the visible parts of a occluded target with the high resolution should have more contribution to the similarity judgment, a partial weighted similarity measure is proposed, in which more confidence is assigned to the better matched parts under the finer scale. The Bayesian inference framework i.e. particle filter then leads the sample distributions to propagate over time. Experiments in different challenging sequences show that our algorithm is superior to the state of art histogram based methods, especially when occlusion happens and a little appearance change exists. |
| 会议录 | Proceedings of the First International Conference on Internet Multimedia Computing and Service
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13450]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_图像与视频分析团队 |
| 通讯作者 | Jinqiao Wang |
| 推荐引用方式 GB/T 7714 | Lili Ma,Jinqiao Wang,Jing Liu,et al. Spatial pyramid based histogram representation for visual tracking with partial occlusion[C]. 见:. Kunming, Yunnan, YT, China. November 23-25, 2009. |
入库方式： OAI收割
来源：自动化研究所
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