Multi-cue integration for multi-camera tracking

Kuan-Wen Chen*, Yi Ping Hung

*Corresponding author for this work

研究成果: Conference contribution

7 引文 斯高帕斯(Scopus)

摘要

For target tracking across multiple cameras with disjoint views, previous works usually employed multiple cues and focused on learning a better matching model of each cue, separately. However, none of them had discussed how to integrate these cues to improve performance, to our best knowledge. In this paper, we look into the multi-cue integration problem and propose an unsupervised learning method since a complicated training phase is not always viable. In the experiments, we evaluate several types of score fusion methods and show that our approach learns well and can be applied to large camera networks more easily.

原文English
主出版物標題Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
頁面145-148
頁數4
DOIs
出版狀態Published - 18 十一月 2010
事件2010 20th International Conference on Pattern Recognition, ICPR 2010 - Istanbul, Turkey
持續時間: 23 八月 201026 八月 2010

出版系列

名字Proceedings - International Conference on Pattern Recognition
ISSN(列印)1051-4651

Conference

Conference2010 20th International Conference on Pattern Recognition, ICPR 2010
國家Turkey
城市Istanbul
期間23/08/1026/08/10

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  • 引用此

    Chen, K-W., & Hung, Y. P. (2010). Multi-cue integration for multi-camera tracking. 於 Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010 (頁 145-148). [5597619] (Proceedings - International Conference on Pattern Recognition). https://doi.org/10.1109/ICPR.2010.44