Automatic object tracking in aerial videos via spatial-temporal feature clustering

Xiaomin Tong, Yanning Zhang, Tao Yang, Wenguang Ma

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Automatic detecting and tracking the objects from UAV videos is very important and challenging for both tactical and security applications. We present a robust object tracking system that is able to track multiple objects robustly in UAV videos. The main characteristics of the proposed system include: (1)A novel feature clustering based multiple objects tracking framework is proposed, which performs much better than the traditional foreground-blob- tracking-based methods. (2)Optical flow features are clustered both in spatial and temporal dimension to track multiple objects robustly even in the case of multiple objects cross moving. Extensive experimental results with quantitative and qualitative analysis demonstrate the robustness and effectiveness of our algorithm.

源语言英语
主期刊名Intelligence Science and Big Data Engineering - 4th International Conference, IScIDE 2013, Revised Selected Papers
出版商Springer Verlag
78-85
页数8
ISBN(印刷版)9783642420566
DOI
出版状态已出版 - 2013
活动4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013 - Beijing, 中国
期限: 31 7月 20132 8月 2013

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8261 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013
国家/地区中国
Beijing
时期31/07/132/08/13

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