A multi-target tracking algorithm using texture for real-time surveillance
文献类型：会议论文
| 作者 | Zhixu Zhao; Shiqi Yu; Xinyu Wu; Congling Wang; Yangsheng Xu |
| 出版日期 | 2009 |
| 会议名称 | 2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008 |
| 英文摘要 | In this paper, we present a texture-based multitarget tracking algorithm. Moving objects are described by local binary patterns (LBP), which is a kind of discriminative texture descriptor. The Kalman filter is introduced into the algorithm to predict the blob's new position and size. Blobs are searched in the neighborhood of the Kalman predictions. If more than one are found, the LBP distance, which has been evaluated valid for blob distinguishing in our experiments, is applied to locate the tracking target. Cooperates with the LBP distance, the Kalman filter is efficient in dealing with collisions. Tracking results demonstrate the effectiveness of the algorithm. This algorithm has been implemented on PC and DSP platforms and achieved real-time performance. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/2500]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2009 |
| 推荐引用方式 GB/T 7714 | Zhixu Zhao,Shiqi Yu,Xinyu Wu,et al. A multi-target tracking algorithm using texture for real-time surveillance[C]. 见:2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008. |
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。