Online Multiple Target Tracking Algorithm Based on Fuzzy Spatio-Temporal Cues

doi:10.3969/j.issn.0372-2112.2017.03.001

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Online Multiple Target Tracking Algorithm Based on Fuzzy Spatio-Temporal Cues

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- Online Multiple Target Tracking Algorithm Based on Fuzzy Spatio-Temporal Cues
- Acta Electronica Sinica Vol. 45, Issue 3, Pages: 513-519(2017)
- 作者机构：
  
  深圳大学ATR国防科技重点实验室,广东,深圳,518060
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2017.03.001
  CLC： TP391
- Published：2017
- 稿件说明：
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Online Multiple Target Tracking Algorithm Based on Fuzzy Spatio-Temporal Cues[J]. Acta Electronica Sinica, 2017, 45(3): 513-519.
DOI：

Online Multiple Target Tracking Algorithm Based on Fuzzy Spatio-Temporal Cues[J]. Acta Electronica Sinica, 2017, 45(3): 513-519. DOI： 10.3969/j.issn.0372-2112.2017.03.001.

摘要

多目标在线跟踪是视频监控中的关键问题之一.针对日益增长的智能化视频监控的需求，提出了一种基于模糊空时线索的多目标在线跟踪算法.在该算法中，引入模糊空时多属性特征定义距离函数，利用模糊C均值聚类优化得到交叉隶属度矩阵，实现目标与观测间的数据关联.为了减少错误的轨迹起始，利用空时线索定义了遮挡度函数，判别出新目标并起始相应的目标轨迹.实验结果表明，本文算法能够准确地估计出目标的运动轨迹.本文算法可应用于视频监控、安防以及自动驾驶等领域.

Abstract

Online multi-target tracking is one of the key problems in video surveillance.According to the increasing need of smart monitoring

an online multiple target tracking algorithm based on fuzzy spatio-temporal cues was proposed.The fuzzy spatio-temporal multiple features were introduced to define the distance function

and the fuzzy c-means algorithm was adopted to derive the cross fuzzy membership degree matrix which was used to deal with the data association between the targets and the observations.To reduce the wrong initializations of the targets

an occlusion measurement about the levels of occlusion was defined according to the spatio-temporal cues.The new targets were discriminated from the false alarms by the occlusion measurement

and their corresponding tracks were initialized.Experimental results show that the proposed algorithm can accurately estimate the trajectories of multiple targets.The proposed algorithm can be applied in video surveillance

security

autonomous driving

etc.

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