Crowd Tracking with Dynamic Evolution of Group Structures
文献类型：会议论文
| 作者 | Zhu, Feng; Wang, Xiaogang; Yu, Nenghai |
| 出版日期 | 2014 |
| 会议名称 | 13th European Conference on Computer Vision (ECCV) |
| 会议地点 | 瑞士 |
| 英文摘要 | Crowd tracking generates trajectories of a set of particles for further analysis of crowd motion patterns. In this paper, we try to answer the following questions: what are the particles appropriate for crowd tracking and how to track them robustly through crowd.Different than existing approaches of computing optical flows, tracking keypoints or pedestrians, we propose to discover distinctive and stable mid-level patches and track them jointly with dynamic evolution of group structures. This is achieved through the integration of low-level keypoint tracking, mid-level patch tracking, and high-level group evolution. Keypoint tracking guides the generation of patches with stable internal motions, and also organizes patches into hierarchical groups with collective motions. Patches are tracked together through occlusions with spatial constraints imposed by hierarchical tree structures within groups. Coherent groups are dynamically updated through merge and split events guided by keypoint tracking. The dynamically structured patches not only substantially improve the tracking for themselves, but also can assist the tracking of any other target in the crowd. The effectiveness of the proposed approach is shown through experiments and comparison with state-of-the-art trackers. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5498]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Zhu, Feng,Wang, Xiaogang,Yu, Nenghai. Crowd Tracking with Dynamic Evolution of Group Structures[C]. 见:13th European Conference on Computer Vision (ECCV). 瑞士. |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
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。