Robust tracking based on local structural cell graph
文献类型：期刊论文
| 作者 | Fan, Heng1; Xiang, Jinhai1; Liao, Honghong1; Du, Xiaoping1 |
| 刊名 | JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
 |
| 出版日期 | 2015 |
| 卷号 | 31 |
| 关键词 | Visual tracking Local structural cell (LSC) Local structural cell graph (LSCG) Bayesian framework Graph matching Superpixel Local based representation Appearance model |
| 通讯作者 | Xiang, JH (reprint author), Huazhong Agr Univ, Coll Informat, Wuhan 430070, Peoples R China. |
| 英文摘要 | Structure information has been increasingly incorporated into computer vision, however most trackers have ignored the inner spatial structure of the object. In this paper, we develop a simple yet robust tracking algorithm based on local structural cell graph (LSCG). This approach exploits both partial and spatial information of the target via representing the object with local structural cells (LSCs) and constructing a graph to model the spatial structure between the inner parts of the object. The tracking is formulated as matching LSCG, whose nodes are target parts and edges are the interaction between two parts. Within the Bayesian framework, we achieve object tracking by matching graphs between the reference and candidates. Eventually, the candidate with the highest similarity is the target. In addition, an updating strategy is adopted to help our tracker adapt to the fast time-varying object appearance. Experimental results demonstrate that the proposed method outperforms several state-of-the-art trackers. (C) 2015 Elsevier Inc. All rights reserved. |
| 研究领域[WOS] | Computer Science, Information Systems ; Computer Science, Software Engineering |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000359181600005 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38403]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Fan, Heng] Huazhong Agr Univ, Coll Engn, Wuhan 430070, Peoples R China 2.[Xiang, Jinhai] Huazhong Agr Univ, Coll Informat, Wuhan 430070, Peoples R China 3.[Liao, Honghong] Huazhong Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan 430074, Peoples R China 4.[Du, Xiaoping] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth, Beijing 100094, Peoples R China |
| 推荐引用方式 GB/T 7714 | Fan, Heng,Xiang, Jinhai,Liao, Honghong,et al. Robust tracking based on local structural cell graph[J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,2015,31. |
| APA | Fan, Heng,Xiang, Jinhai,Liao, Honghong,&Du, Xiaoping.(2015).Robust tracking based on local structural cell graph.JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,31. |
| MLA | Fan, Heng,et al."Robust tracking based on local structural cell graph".JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 31(2015). |
入库方式： OAI收割
来源：遥感与数字地球研究所
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