Object tracking across non-overlapping views by learning inter-camera transfer models | |
Chen, Xiaotang; Huang, Kaiqi; Tan, Tieniu | |
发表期刊 | PATTERN RECOGNITION |
2014-03-01 | |
卷号 | 47期号:3页码:1126-1137 |
文章类型 | Article |
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. |
关键词 | Object Tracking Transfer Models Color Transfer Camera Network Non-overlapping Views |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | NETWORK TOPOLOGY ; COLOR CONSTANCY ; IMAGES |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000329888800020 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/3818 |
专题 | 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 |
第一作者单位 | 模式识别国家重点实验室 |
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. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
PR2013-Object tracki(5083KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论