CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Multi-object tracking via MHT with multiple information fusion in surveillance video
Ying, Long; Zhang, Tianzhu; Xu, Changsheng
Source PublicationMULTIMEDIA SYSTEMS
2015-06-01
Volume21Issue:3Pages:313-326
SubtypeArticle
AbstractTracking multiple objects is critical to automatic video content analysis and virtual reality. The major problem is how to solve data association problem when ambiguous measurements are caused by objects in close proximity. To tackle this problem, we propose a multiple information fusion-based multiple hypotheses tracking algorithm integrated with appearance feature, local motion pattern feature and repulsion-inertia model for multi-object tracking. Appearance model based on HSV-local binary patterns histogram and local motion pattern based on optical flow are adopted to describe objects. A likelihood calculation framework is proposed to incorporate the similarities of appearance, dynamic process and local motion pattern. To consider the changes in appearance and motion pattern over time, we make use of an effective template updating strategy for each object. In addition, a repulsioninertia model is adopted to explore more useful information from ambiguous detections. Experimental results show that the proposed approach generates better trajectories with less missing objects and identity switches.
KeywordMulti-object Tracking Data Association Mht Multiple Information Fusion
WOS HeadingsScience & Technology ; Technology
WOS KeywordALGORITHM ; ASSOCIATION ; MODEL
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Theory & Methods
WOS IDWOS:000355813200008
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/7931
Collection模式识别国家重点实验室_多媒体计算与图形学
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Ying, Long,Zhang, Tianzhu,Xu, Changsheng. Multi-object tracking via MHT with multiple information fusion in surveillance video[J]. MULTIMEDIA SYSTEMS,2015,21(3):313-326.
APA Ying, Long,Zhang, Tianzhu,&Xu, Changsheng.(2015).Multi-object tracking via MHT with multiple information fusion in surveillance video.MULTIMEDIA SYSTEMS,21(3),313-326.
MLA Ying, Long,et al."Multi-object tracking via MHT with multiple information fusion in surveillance video".MULTIMEDIA SYSTEMS 21.3(2015):313-326.
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