Moving Object Tracking via Hausdorff Distance and Particle Filter
文献类型：期刊论文
| 作者 | Wang JQ(王俊卿); Shi ZL(史泽林) ; Huang SB(黄莎白)
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| 刊名 | International Journal of Information Technology
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| 出版日期 | 2006 |
| 卷号 | 12期号:2页码:66-75 |
| 关键词 | Moving Objects Hausdorff Distances Adaptive Tracking Translation |
| ISSN号 | 1305-239X |
| 产权排序 | 1 |
| 中文摘要 | Moving object tracking is widely applied in computer vision. A novel method for moving object tracking, which utilizes particle filter and Hausdorff distance is proposed in this paper. This algorithm consists of system model, measure model, the strategy of template update with adaptive tracking window and solution to occlusion in the particle filter framework. In system model, Hausdorff distance and edge information of target are applied to improve the robustness against variation of rotation, scale, translation and illumination of target. In measure model, this new similarity metric defined based on gray histogram not only enhances tracking fault-tolerant property, but its computational cost has also been greatly reduced. The strategy of update template of adaptive tracking window and solution to occlusion makes tracking more stable and robust. The experimental results also illustrate that this algorithm is stable and efficient to track deformable objects in image sequences. |
| 语种 | 英语 |
| 公开日期 | 2013-04-23 |
| 源URL | [http://ir.sia.cn/handle/173321/10639]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 推荐引用方式 GB/T 7714 | Wang JQ,Shi ZL,Huang SB. Moving Object Tracking via Hausdorff Distance and Particle Filter[J]. International Journal of Information Technology,2006,12(2):66-75. |
| APA | Wang JQ,Shi ZL,&Huang SB.(2006).Moving Object Tracking via Hausdorff Distance and Particle Filter.International Journal of Information Technology,12(2),66-75. |
| MLA | Wang JQ,et al."Moving Object Tracking via Hausdorff Distance and Particle Filter".International Journal of Information Technology 12.2(2006):66-75. |
入库方式： OAI收割
来源：沈阳自动化研究所
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