3D Model Based Vehicle Tracking by Optimizing Gradient Based Fitness Evaluation
文献类型：会议论文
| 作者 | Zhaoxiang Zhang ; Kaiqi Huang; Tieniu Tan; Yunhong Wang
|
| 出版日期 | 2010 |
| 会议日期 | 2010 |
| 会议地点 | Istanbul, Turkey |
| 关键词 | Gradient Methods object Detection particle Filtering |
| 页码 | 1771-1774 |
| 英文摘要 | We address the problem of 3D model based vehicle tracking from monocular videos of calibrated traffic scenes. A 3D wire-frame model is set up as prior information and an efficient fitness evaluation method based on image gradients is introduced to estimate the fitness score between the projection of vehicle model and image data, which is then combined into a particle filter based framework for robust vehicle tracking. Numerous experiments are conducted and experimental results demonstrate the effectiveness of our approach for accurate vehicle tracking and robustness to noise and occlusions. |
| 会议录 | ICPR2010
 |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12700]  |
| 专题 | 自动化研究所_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 |
| 推荐引用方式 GB/T 7714 | Zhaoxiang Zhang,Kaiqi Huang,Tieniu Tan,et al. 3D Model Based Vehicle Tracking by Optimizing Gradient Based Fitness Evaluation[C]. 见:. Istanbul, Turkey. 2010. |
入库方式： OAI收割
来源：自动化研究所
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