@inproceedings{2ed87df3932049daa237a5177316f15e,
title = "Multi-view multi-object tracking based on global graph matching structure",
abstract = "We present a novel global graph matching framework based on virtual nodes for multi-object tracking in multiple views. Contrary to recent approaches, we incorporate a global graph matching structure (GGMS), allowing the tracker to better cope with long-term occlusions and tracking failure caused by interaction of targets. In our approach, the matching problem is solved as follows: Virtual detections are introduced by mapping the nodes among views, to ensure that the amount of detections in each view is the same, and then realize the whole graph matching. In addition, appropriate optimization is performed to convert this mapping problem to the Assignment Problem, which could be efficiently addressed by the Hungarian Algorithm. Finally, we demonstrate the validity of our approach on the publicly available datasets, and achieve very competitive results by quantitative evaluation.",
keywords = "Graph matching, Multi-object tracking, Multi-view",
author = "Chao Li and Shantao Ping and Hao Sheng and Jiahui Chen and Zhang Xiong",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 17th Pacific-Rim Conference on Multimedia, PCM 2016 ; Conference date: 15-09-2016 Through 16-09-2016",
year = "2016",
doi = "10.1007/978-3-319-48896-7\_65",
language = "英语",
isbn = "9783319488950",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "660--669",
editor = "Enqing Chen and Yun Tie and Yihong Gong",
booktitle = "Advances in Multimedia Information Processing – 17th Pacific-Rim Conference on Multimedia, PCM 2016, Proceedings",
address = "德国",
}