Object tracking across non-overlapping views by learning inter-camera transfer models
文献类型：期刊论文
| 作者 | Chen, Xiaotang ; Huang, Kaiqi; Tan, Tieniu
|
| 刊名 | PATTERN RECOGNITION
 |
| 出版日期 | 2014-03-01 |
| 卷号 | 47期号:3页码:1126-1137 |
| 关键词 | Object tracking Transfer models Color transfer Camera network Non-overlapping views |
| 英文摘要 | In this paper, we introduce a novel algorithm to solve the problem of object tracking across multiple non-overlapping cameras by learning inter-camera transfer models. The transfer models are divided into two parts according to different kinds of cues, i.e. spatio-temporal cues and appearance cues. To learn spatio-temporal transfer models across cameras, an unsupervised topology recovering approach based on N-neighbor accumulated cross-correlations is proposed, which estimates the topology of a non-overlapping multi-camera network. Different from previous methods, the proposed topology recovering method can deal with large amounts of data without considering the size of time window. To learn inter-camera appearance transfer models, a color transfer method is used to model the changes of color characteristics across cameras, which has an advantage of low requirements to training samples, making update efficient when illumination conditions change. The experiments are performed on different datasets. Experimental results demonstrate the effectiveness of the proposed algorithm. (C) 2013 Elsevier Ltd. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | NETWORK TOPOLOGY ; COLOR CONSTANCY ; IMAGES |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000329888800020 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3818]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 作者单位 | Chinese Acad Sci, Ctr Res Intelligent Percept & Comp, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Xiaotang,Huang, Kaiqi,Tan, Tieniu. Object tracking across non-overlapping views by learning inter-camera transfer models[J]. PATTERN RECOGNITION,2014,47(3):1126-1137. |
| APA | Chen, Xiaotang,Huang, Kaiqi,&Tan, Tieniu.(2014).Object tracking across non-overlapping views by learning inter-camera transfer models.PATTERN RECOGNITION,47(3),1126-1137. |
| MLA | Chen, Xiaotang,et al."Object tracking across non-overlapping views by learning inter-camera transfer models".PATTERN RECOGNITION 47.3(2014):1126-1137. |
入库方式： OAI收割
来源：自动化研究所
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