Robust Multivehicle Tracking With Wasserstein Association Metric in Surveillance Videos

Vehicle tracking based on surveillance videos is of great significance in the highway traffic monitoring field. In real-world vehicle-tracking applications, partial occlusion and objects with similarly appearing distractors pose significant challenges. For addressing the above issues, we propose a r...

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Bibliografische Detailangaben

Hauptverfasser:	Yanjie Zeng, Xinsha Fu, Lei Gao, Jiawei Zhu, Haifeng Li, Yuheng Li
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2020-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Vehicle tracking highway surveillance videos Wasserstein association metric target-specific sparse coding
Online-Zugang:	https://ieeexplore.ieee.org/document/9025266/
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