Description: 这是多目标跟踪的入门文献，希望研究高斯概率假设密度的朋友共勉。文中详细描述了多目标跟踪的基本原理及最新方法。-This is the entry of multi-target tracking literature study friends encourage each of the Gaussian probability hypothesis density. The paper describes in detail the basic principles of multi-target tracking and the latest methods. Platform: |
Size: 4432896 |
Author:于雷 |
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Description: A Comparison of Multi Hypothesis Kalman Filter and article Filter for Multi-target Tracking-A Comparison of Multi Hypothesis Kalman Filter and article Filter for Multi-target Tracking Platform: |
Size: 5168128 |
Author:smeuh |
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Description: 程序对多目标跟踪进行了仿真，运用的是多假设模型-Procedures for multi-target tracking simulation, the use of multiple hypothesis model Platform: |
Size: 28672 |
Author:小胡 |
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Description: 基于有限集统计理论的概率假设密度滤波算法运用于多目标跟踪时，不再考虑数据关联问
题，突破了传统的跟踪方法。但该滤波公式在非线性条件下没有解析解，在非线性高斯条件下提出了
基于无迹变换的概率假设密度滤波算法，实现了算法在强杂波环境下的多目标跟踪-The Probability Hypothesis Density (PHD) Filter based on Finite Set Statistics doesn’t need data association for
multi-target tracking, which breaks through the tradition tracking method. But there is no closed form solution to the PHD
recursion under the nonlinear models Platform: |
Size: 1046528 |
Author:正东 |
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