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A multi-hypothesis approach for salient object tracking in visual surveillance
Update : 2008-10-13 Size : 121.54kb Publisher : gaojunxiang

A multi-hypothesis approach for salient object tracking in visual surveillance
Update : 2025-03-07 Size : 121kb Publisher : gaojunxiang

DL : 1
实现多假设跟踪(MHT)算法的MATLAB程序包. 程序使用了Murty提出的求出二分图匹配前N个最优解的算法.-MATLAB implementation of Multi-hypothesis tracking (MHT) algorithm.
Update : 2025-03-07 Size : 45kb Publisher : Ren Xiaoyi

A MULTI-HYPOTHESIS APPROACH FOR SALIENT OBJECT TRACKING IN VISUAL SURVEILLANCE
Update : 2025-03-07 Size : 121kb Publisher : Mahmoud

DL : 2
采用多假设检验法实现多目标跟踪,建立了多目标跟踪/视频监控平台,结合卡尔曼滤波预测目标轨迹。用户可以自己修改相关代码。-This code complete multiple object tracking/multiple target tracking/multi target tracking/multi object tracking using multiple hypothesis test/multi hypothesis test, builds up a visual surveillance (video surveillance) system, and explores kalman filter to predict tragectory of objects. Experimental results demonstrate its outperformance.
Update : 2025-03-07 Size : 45kb Publisher : 朱亮亮

PHD滤波的最新进展 多源多目标跟踪 一只是近十年来估计研究的热点-Probability Hypothesis Densities for Multi-sensor, Multi-target Tracking with Application to Acoustic Sensors Array
Update : 2025-03-07 Size : 134kb Publisher : 豆湾

DL : 0
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.
Update : 2025-03-07 Size : 4.23mb Publisher : 于雷

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
Update : 2025-03-07 Size : 4.93mb Publisher : smeuh

DL : 0
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
Update : 2025-03-07 Size : 28kb Publisher : 小胡

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
Update : 2025-03-07 Size : 1022kb Publisher : 正东

DL : 1
交互多假设跟踪(IMMMHT)的MATLAB程序(MATLAB program of interactive multi hypothesis tracking (IMMMHT))
Update : 2025-03-07 Size : 14kb Publisher : 石小笨

MATLAB implementation of Multi-hypothesis tracking (MHT) algorithm.
Update : 2025-03-07 Size : 24kb Publisher : XURIDONGSHENG
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