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Received:September 02, 2009
Received:September 02, 2009
中文摘要: 探讨了多假设跟踪算法(MHT)在多物体检测跟踪系统中的应用方式.该方法采用卡尔曼滤波算法实现跟踪轨迹假设,采用LAP算法实现数据关联,将预测和视频采集测量值结合得到最优跟踪轨迹.实验表明,该方法在实践中达到了较好的效果.
Abstract:An application of Multiple hypothesis tracking(MHT) in multiple target tracking system is discussed. Algorithm of Kalman filtering is used to get tracking hypothesis and LAP algorithm is used to implement data association. Optimal tracking results are obtained by the combination of the hypothesis and the measurement of image sequences. Experiments show that the method is effective in practice.
keywords: Kalman filter MHT LAP multiple object tracking
文章编号：20100120 中图分类号： 文献标志码：
基金项目:
| Author Name | Affiliation |
| SHAO Jie | School of Computer and Information Engineer, Shanghai University of Electric Power, Shanghai 200090, China |
| Author Name | Affiliation |
| SHAO Jie | School of Computer and Information Engineer, Shanghai University of Electric Power, Shanghai 200090, China |
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