Tracking as a Whole: Multi-Target Tracking by Modeling Group Behavior with Sequential Detection

Yuan Yuan, Yuwei Lu, Qi Wang

科研成果: 期刊稿件文章同行评审

62 引用 (Scopus)

摘要

Video-based vehicle detection and tracking is one of the most important components for intelligent transportation systems. When it comes to road junctions, the problem becomes even more difficult due to the occlusions and complex interactions among vehicles. In order to get a precise detection and tracking result, in this paper we propose a novel tracking-by-detection framework. In the detection stage, we present a sequential detection model to deal with serious occlusions. In the tracking stage, we model group behavior to treat complex interactions with overlaps and ambiguities. The main contributions of this paper are twofold: 1) shape prior is exploited in the sequential detection model to tackle occlusions in crowded scene and 2) traffic force is defined in the traffic scene to model group behavior, and it can assist to handle complex interactions among vehicles. We evaluate the proposed approach on real surveillance videos at road junctions and the performance has demonstrated the effectiveness of our method.

源语言英语
文章编号7896601
页(从-至)3339-3349
页数11
期刊IEEE Transactions on Intelligent Transportation Systems
18
12
DOI
出版状态已出版 - 12月 2017

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