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Proceedings Paper

A comprehensive framework for detecting and tracking space objects
Author(s): Jin-Ze Song; Yuan-Xiang Li; Ji Shen; Feng-Bo Wu
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Paper Abstract

Detecting and tracking space objects in video sequences is a challenging task of wide interest. In this paper, a comprehensive framework for detecting and tracking space objects is presented. Unlike the traditional linear structure of tracking after detection, this framework also allows detection after tracking. What is more, the combination of the level set and the frame subtraction algorithms in the tracking subsystem makes detection and tracking of a space object during an entire video sequence a reality. Experimental results on 15 videos generated by STK show robust tracking under both star background and earth background.

Paper Details

Date Published: 13 January 2012
PDF: 5 pages
Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 83500H (13 January 2012); doi: 10.1117/12.920345
Show Author Affiliations
Jin-Ze Song, Shanghai Jiao Tong Univ. (China)
Yuan-Xiang Li, Shanghai Jiao Tong Univ. (China)
Ji Shen, Shanghai Jiao Tong Univ. (China)
Feng-Bo Wu, Shanghai Jiao Tong Univ. (China)


Published in SPIE Proceedings Vol. 8350:
Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies
Safaa S. Mahmoud; Zhu Zeng; Yuting Li, Editor(s)

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