电子学报2017，Vol.45Issue(3)：513-519,7.DOI:10.3969/j.issn.0372-2112.2017.03.001
基于模糊空时线索的多目标在线跟踪算法
Online Multiple Target Tracking Algorithm Based on Fuzzy Spatio-Temporal Cues
摘要
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.关键词
视频监控/在线跟踪/模糊C均值/空时线索/模糊隶属度Key words
video surveillance/online tracking/fuzzy c-means/spatio-temporal cues/fuzzy membership degree分类
信息技术与安全科学引用本文复制引用
李俊,谢维信,李良群,刘钧彬..基于模糊空时线索的多目标在线跟踪算法[J].电子学报,2017,45(3):513-519,7.基金项目
国家自然科学基金(No.61301074,No.61271107) （No.61301074,No.61271107）
广东省自然科学基金(No.S2012010009417) （No.S2012010009417）
广东省科技厅产学研协同创新成果转化项目(No.509111098127) （No.509111098127）
深圳市科技计划项目(No.JCYJ20140418095735618) （No.JCYJ20140418095735618）
国防预研基金项目(No.91400C800501140C80340) （No.91400C800501140C80340）
