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Description: 所上载的内容是一篇基于halcon的机器视觉试验平台的设计与研究的文章,它对于想用halcon从事类似工作的读者很有用。-Set up by the contents of Halcon are based on a test platform for machine vision design and research articles, it want to engage in similar work with Halcon readers very useful.
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Author: st |
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Description: 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.
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Size: 46080 |
Author: Ren Xiaoyi |
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Description: 多假设跟踪算法（MHT）是一种在数据关联发生冲突时，形成多种假设以延迟做决定的逻辑。与PDA合并多种假设的做法不同，MHT算法把多个假设继续传递，让后续的观测数据解决这种不确定性。举个例子，PDA对所有假设以对应的概率进行加权平均，然后再对航迹进行更新。因此，如果有10个假设，PDA会将这10个假设有效的合并只留下一个假设。而另一方面，MHT却是保持这10个假设的子集并延迟决定，这样可以利用之后的观测数据解决当前扫描帧的不确定性问题。 -Multiple Hypothesis Tracking (MHT) is a kind of data association in the event of a conflict, the formation of a variety of assumptions in order to delay a decision logic. PDA combined with the practice of a variety of different assumptions, MHT algorithm is to pass on to a number of assumptions, so that follow-up observations to resolve this uncertainty. For example, PDA for all assumptions to the corresponding probability-weighted average, and then update the right track. Therefore, if there are 10 assumptions, PDA will be assumed that an effective merger of 10, leaving only a hypothesis. On the other hand, MHT was to keep this a subset of 10 hypothetical and delay the decision, so that after the observational data can be used to resolve the current scan frame uncertainties.
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Size: 129024 |
Author: haiser |
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Description: MHT Tracking code
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Size: 1170432 |
Author: Kevin |
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Description: 是自己编写的GM-PHD多目标跟踪软件，能够给于初学者一个简单的认识。-Is the GM-PHD to write your own multi-target tracking software can give beginners a simple understanding.
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Size: 1024 |
Author: chen |
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Description: 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.
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Author: 朱亮亮 |
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Description: Implementation of the Murty algorithm to obtain the best K assignments. Includes the implementation of the Jonker-Volgenant algorithm.
Usual applications are multiple target tracking algorithms, Joint Probabilistic Data Association (JPDA), Multiple Hypothesis Tracking (MHT), Global Nearest Neighbours (GNN), etc.
Based on the original code by Jonker-Volgenant, and the Murty Matlab implementation by Eric Trautmann
Can be used both from Java or Matlab.
Time for a 100x100 assignment problem, with k=20:
• Matlab implementation: 54.5 sec
• Java implementation: 1 sec
-Implementation of the Murty algorithm to obtain the best K assignments. Includes the implementation of the Jonker-Volgenant algorithm.
Usual applications are multiple target tracking algorithms, Joint Probabilistic Data Association (JPDA), Multiple Hypothesis Tracking (MHT), Global Nearest Neighbours (GNN), etc.
Based on the original code by Jonker-Volgenant, and the Murty Matlab implementation by Eric Trautmann
Can be used both from Java or Matlab.
Time for a 100x100 assignment problem, with k=20:
• Matlab implementation: 54.5 sec
• Java implementation: 1 sec
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Size: 27648 |
Author: hansen |
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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
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Size: 28672 |
Author: 小胡 |
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Description: MHT算法仿真，demo演示，针对单个目标跟踪进行了一个多假设目标跟踪的仿真。-MHT algorithm simulation, demo demo, for a single target tracking more than a hypothetical target tracking simulation.
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Size: 51200 |
Author: xiangrong |
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Description: MHT(多假设跟踪)是一种基于多个扫描周期量测, 进行数据互联的技术, 理论上是解决数
据关联的最优方法。文中重点阐述多假设跟踪算法中数据聚簇、假设生成及假设概率计算、假设约简与
剪枝等环节。从工程角度出发, 采用K best最优假设和N scan 回溯剪枝以提高算法效率和实用-MHT (multiple hypothesis tracking) is a kind of multiple scan cycle measurement based, data interconnection technology, theory is to solve the number
According to the optimal method of association. This paper focuses on multiple hypothesis tracking algorithm in data clustering, hypothesis generation and hypothesis probability calculation, assuming that reduction and
The pruning process. From the engineering point of view, using K best optimal hypothesis and N scan backtracking pruning algorithm to improve the efficiency
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Size: 269312 |
Author: 张成宝 |
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Description: 基于opencv的MHT的多目标跟踪程序-Based on the MHT multi-target tracking program
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Size: 278528 |
Author: 樊杰 |
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Description: 多目标跟踪的 MHT 算法的一种实现。可以在 Linux 版的 MATLAB 中运行。代码仅供参考。相关论文：
1. Multiple object video tracking using GRASP-MHT
2. An Efficient MHT Implementation Using GRASP-An implementation of MHT for multi-target tracking. For research purpose only. Related papers:
1. Multiple object video tracking using GRASP-MHT
2. An Efficient MHT Implementation Using GRASP
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Size: 7396352 |
Author: Ren Xiaoyi |
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Description: MHT多假设跟踪算法实现。 MHT多假设跟踪算法实现。-multi hyposisys trackingmulti hyposisys trackingmulti hyposisys trackingmulti hyposisys tracking
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Size: 790528 |
Author: 高山 |
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Description: MHT Tracking Based Paper
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Size: 250880 |
Author: manish@2015 |
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Description: MATLAB implementation of Multi-hypothesis tracking (MHT) algorithm.
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Size: 24576 |
Author: XURIDONGSHENG |
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