Collaborative Kalman filters for vehicle tracking | |
CaoXianbin; ShiZhengrong; YanPingkun; LiXuelong; Cao Xianbin | |
作者部门 | 光学影像分析与学习中心 |
2011 | |
发表期刊 | IEEE International Workshop on Machine Learning for Signal Processing |
ISSN | 9781457716232 |
产权排序 | 3 |
摘要 | Airborne vehicle tracking system is receiving increasing attention because of its high mobility and large surveillance scope. However, tracking multiple vehicles simultaneously on airborne platform is a challenging problem, owing to uncertain vehicle motion and visible frame-to-frame jitter caused by camera vibration. To address these problems, a new collaborative tracking framework is proposed. The framework consists of two level tracking processes: to track vehicles as groups, the higher level builds the relevance network and divides target vehicles into different groups; the relevance is calculated based on the status information of vehicles obtained by the lower level. This kind of group tracking takes into account the relevance of vehicles and reduces the impact of camera vibration, so the proposed method is applicable for multi-vehicle tracking in airborne videos. Experimental results demonstrate that the proposed method has better performance in terms of the tracking speed and accuracy compared to other existing approaches. |
关键词 | Group Tracking Relevance Network Kalman Filter Airborne Platforms Multi-target Tracking |
收录类别 | EI |
语种 | 英语 |
项目资助者 | National Basic Research Program of China (973 Program); National Natural Science Foundation of China; Foundation for Innovative Research Groups of the National Natural Science Foundation of China |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/19862 |
专题 | 光谱成像技术研究室 |
通讯作者 | Cao Xianbin |
推荐引用方式 GB/T 7714 | CaoXianbin,ShiZhengrong,YanPingkun,et al. Collaborative Kalman filters for vehicle tracking[J]. IEEE International Workshop on Machine Learning for Signal Processing,2011. |
APA | CaoXianbin,ShiZhengrong,YanPingkun,LiXuelong,&Cao Xianbin.(2011).Collaborative Kalman filters for vehicle tracking.IEEE International Workshop on Machine Learning for Signal Processing. |
MLA | CaoXianbin,et al."Collaborative Kalman filters for vehicle tracking".IEEE International Workshop on Machine Learning for Signal Processing (2011). |
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