A Hypothesis-Optimized RANSAC Algorithm for Track Initiation

机译：假设优化的RANSAC轨道起始算法

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摘要

Track initiation is still a challenge in extremely dense clutter environment. Since the validity of hypothesis in RANSAC approach can not be guaranteed in heavy clutter situations, a novel track initiation algorithm named hypothesis-optimized random sample consensus (HO-RANSAC) is proposed to address the above problem. The proposed HO-RANSAC uses hypothesis splitting and merging strategy in the hypothesis verification procedure to improve the probability of valid hypothesis, in addition, local optimization is applied to update the hypothesis model. Simulation results demonstrate that the proposed algorithm has superior performance compared with RANSAC, the modified logic-based algorithm, the modified Hough transform and DB-RANSAC.

机译：在极其密集的杂乱环境中，轨道起步仍然是一个挑战。由于在杂乱无章的情况下无法保证RANSAC方法中假设的有效性，因此提出了一种称为假设优化随机样本共识（HO-RANSAC）的新型航迹起始算法来解决上述问题。提出的HO-RANSAC在假设验证过程中使用了假设分裂与合并策略来提高有效假设的概率，此外，还应用局部优化来更新假设模型。仿真结果表明，与RANSAC，改进的基于逻辑的算法，改进的Hough变换和DB-RANSAC相比，该算法具有更好的性能。

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《International Conference on Information Fusion》|2020年|1-6|共6页
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Feng Yang; Yujuan Luo; Qiang Li; Yuming Yin;
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Clutter; Target tracking; Time measurement; Density measurement; Velocity measurement; Current measurement; Merging;

机译：杂波;目标跟踪;时间测量;密度测量;速度测量;电流测量;合并;

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2. Convergence and Complexity Analysis of Recursive-RANSAC: A New Multiple Target Tracking Algorithm [J] . Niedfeldt Peter C., Beard Randal W. Automatic Control, IEEE Transactions on . 2016,第2期

机译：递归-RANSAC的收敛性和复杂性分析：一种新的多目标跟踪算法
3. Detection of convective initiation using Meteosat SEVIRI: implementation in and verification with the tracking and nowcasting algorithm Cb-TRAM [J] . D.Merk, T.Zinner Atmospheric Measurement Techniques . 2013,第8期

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4. Improving track initiation performance by track validation algorithms for multi-target tracking in heavy clutter [C] . Hasan Hüseyin Sönmez, Kübra Turgut, Ali Köksal Hocaoğlu Signal Processing and Communications Applications Conference . 2017

机译：通过轨道验证算法提高轨道起始性能，以解决重型杂波中的多目标跟踪问题
5. Recursive-RANSAC: A Novel Algorithm for Tracking Multiple Targets in Clutter [D] . Niedfeldt, Peter C. 2014

机译：递归RANSAC：一种在杂波中跟踪多个目标的新算法
6. SLAM in Dynamic Environments: A Deep Learning Approach for Moving Object Tracking Using ML-RANSAC Algorithm [O] . Masoud S. Bahraini, Ahmad B. Rad, Mohammad Bozorg 2019

机译：动态环境中的SLAM：使用ML-RANSAC算法进行运动对象跟踪的深度学习方法
7. Track Initiation Algorithms for Multiple Maneuvering Target Tracking [O] . 2008

机译：用于多个机动目标跟踪的跟踪启动算法
8. Dynamic programming algorithm applied to track initiation. [R] . Coleman, D. E. 1989

机译：动态规划算法应用于跟踪启动。

A Hypothesis-Optimized RANSAC Algorithm for Track Initiation

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