Measuring Collectiveness via Refined Topological Similarity
文献类型：期刊论文
| 作者 | Li, Xuelong1 ; Chen, Mulin2,3; Wang, Qi2,3
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| 刊名 | acm transactions on multimedia computing communications and applications
 |
| 出版日期 | 2016-03-01 |
| 卷号 | 12期号:2 |
| 关键词 | Multimedia crowd analysis collectiveness manifold feature extraction |
| ISSN号 | 1551-6857 |
| 产权排序 | 1 |
| 英文摘要 | crowd system has motivated a surge of interests in many areas of multimedia, as it contains plenty of information about crowd scenes. in crowd systems, individuals tend to exhibit collective behaviors, and the motion of all those individuals is called collective motion. as a comprehensive descriptor of collective motion, collectiveness has been proposed to reflect the degree of individuals moving as an entirety. nevertheless, existing works mostly have limitations to correctly find the individuals of a crowd system and precisely capture the various relationships between individuals, both of which are essential to measure collectiveness. in this article, we propose a collectiveness-measuring method that is capable of quantifying collectiveness accurately. our main contributions are threefold: (1) we compute relatively accurate collectiveness by making the tracked feature points represent the individuals more precisely with a point selection strategy; (2) we jointly investigate the spatial-temporal information of individuals and utilize it to characterize the topological relationship between individuals by manifold learning; (3) we propose a stability descriptor to deal with the irregular individuals, which influence the calculation of collectiveness. intensive experiments on the simulated and real world datasets demonstrate that the proposed method is able to compute relatively accurate collectiveness and keep high consistency with human perception. |
| WOS标题词 | science & technology ; technology |
| 类目[WOS] | computer science, information systems ; computer science, software engineering ; computer science, theory & methods |
| 研究领域[WOS] | computer science |
| 关键词[WOS] | crowd simulation ; saliency ; motion ; system |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000373906200008 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/28087]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 作者单位 | 1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr Opt Imagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China 2.Northwestern Polytech Univ, Sch Comp Sci, Xian 710072, Shaanxi, Peoples R China 3.Northwestern Polytech Univ, Ctr Opt Imagery Anal & Learning OPTIMAL, Xian 710072, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Xuelong,Chen, Mulin,Wang, Qi. Measuring Collectiveness via Refined Topological Similarity[J]. acm transactions on multimedia computing communications and applications,2016,12(2). |
| APA | Li, Xuelong,Chen, Mulin,&Wang, Qi.(2016).Measuring Collectiveness via Refined Topological Similarity.acm transactions on multimedia computing communications and applications,12(2). |
| MLA | Li, Xuelong,et al."Measuring Collectiveness via Refined Topological Similarity".acm transactions on multimedia computing communications and applications 12.2(2016). |
入库方式： OAI收割
来源：西安光学精密机械研究所
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