Improving Track Initiation Performance by Track Validation Algorithms for Multi-Target Tracking in Heavy Clutter

被引：0
|
作者：
Sonmez, Hasan Huseyin [1 ]
Turgut, Kubra [1 ]
Hocaoglu, Ali Koksal [1 ]
机构：
[1] Gebze Tekn Univ, Elekt Muhendisligi, Kocaeli, Turkey
来源：
2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2017年
关键词：
multi target tracking; track initiation; Hough transform; RANSAC algorithm;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In this study, for multi-target tracking in an heavy clutter environment, line detection-based validation algorithms are proposed for improving track initiation performance by reducing false tracks. Track validation algorithm is applied to the results of the base track initiation algorithm periodically and deviation from line evaluated based on a defined measure. Then, by thresholding the deviation value, true and false tracks are discriminated, even for maneuvering targets. Thus, performance of both track initiation and tracker are improved by means of number of false tracks.
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页数：4
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