Real-time Depth-based Tracking Using A Binocular Camera
文献类型：会议论文
| 作者 | Zhang, Leijie ; Cao, Zhiqiang; Meng, Xiangrui; Zhou, Chao; Wang, Shuo
|
| 出版日期 | 2016-06 |
| 会议日期 | June 12-15, 2016 |
| 会议地点 | Guilin, China |
| DOI | 10.1109/WCICA.2016.7578274 |
| 英文摘要 | Depth map provides rich information and it can be utilized in object tracking to handle some challenging problems in conventional RGB tracking such as occlusions and model drift. In this paper, we present a tracker that provides an effective real-time target tracking method based on a binocular camera. The proposed tracker is an extension of the popular KCF algorithm that leverages a circulant structure of tracking-by-detection with kernels for tracking. On this basis, we design a simple yet effective method to detect occlusions and recover tracking using noisy depth map obtained from a binocular camera. Firstly, one needs to identify exact and reasonable peak number of the target region’s depth histogram and apply GMM model to evaluate the depth distribution. The occlusion is then detected based on the depth evaluation and the maximum response from KCF. When the occlusion happens, it is segmented to build the corresponding search region for recovery. The experimental results demonstrate the effectiveness of the proposed method and the superiority to the KCF tracker. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/14798]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 通讯作者 | Cao, Zhiqiang |
| 作者单位 | State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences |
| 推荐引用方式 GB/T 7714 | Zhang, Leijie,Cao, Zhiqiang,Meng, Xiangrui,et al. Real-time Depth-based Tracking Using A Binocular Camera[C]. 见:. Guilin, China. June 12-15, 2016. |
入库方式： OAI收割
来源：自动化研究所
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。