Multi-target tracking based on multi-feature associated matrix reasoning

摘要：

In the video-based multi-target tracking, the uncertainty of the target moving states is the difficulty of multi-target tracking. At present, data association algorithm is commonly used to resolve this problem. Aiming at multi-target state judgment and occlusion problem, this paper proposes a multitarget tracking algorithm based on multi-feature associated matrix reasoning. This algorithm first applies the fusion of multiple visual features for target modeling. These features are complementary and redundancy to each other. And then deduce multitarget states through establishing multi-feature associated matrix. Finally judge and deal with concrete occlusions. Compared with traditional data association algorithms, this algorithm is more stable and real-time. The experimental results show that this algorithm can realize robust multi-target tracking in different states, and resolve the occlusion problem effectively.

关键词： multi-target tracking data association multi-feature fusion associated matrix

作者: Yu Ma Huibin Wang Xuewen Wu Xin Wang

作者单位: College of Computer and Information Hohai University Nanjing, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 419-423

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）