| A Novel Solution for Multi-Camera Object Tracking | |
Weihua Chen ; Lijun Cao; Xiaotang Chen; Kaiqi Huang
| |
| 2014 | |
| 会议名称 | International Conference on Image Processing (ICIP) |
| 会议录名称 | Proc. IEEE International Conference on Image Processing 2014 |
| 页码 | 2329-2333 |
| 会议日期 | 2014-10-01 |
| 会议地点 | Paris, France |
| 摘要 | The traditional multi-camera object tracking contains two steps: single camera object tracking (SCT) and inter-camera object tracking (ICT). The ICT performance strongly relies on the great results of SCT. In practice, most of current SCT methods are unperfect and products much more fragments. In this paper, a novel solution using a global tracklet association is proposed, which can provide a good ICT performance when the SCT results are not perfect. The proposed solution is also available in non-overlapping views through a new tracklet representation and experiments shows the effectiveness of the proposed novel solution in real scene. |
| 关键词 | Cameras image Fusion object Tracking |
| 收录类别 | EI |
| 语种 | 英语 |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/12683 |
| 专题 | 智能感知与计算研究中心 |
| 通讯作者 | Kaiqi Huang |
| 作者单位 | 中国科学院自动化研究所 |
| 第一作者单位 | 中国科学院自动化研究所 |
| 通讯作者单位 | 中国科学院自动化研究所 |
| 推荐引用方式 GB/T 7714 | Weihua Chen,Lijun Cao,Xiaotang Chen,et al. A Novel Solution for Multi-Camera Object Tracking[C],2014:2329-2333. |
| 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 | ||
| publication.pdf（297KB） | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 | ||
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