A comprehensive framework for detecting and tracking space objects

Jin-Ze Song; Yuan-Xiang Li; Ji Shen; Feng-Bo Wu

doi:10.1117/12.920345

12 January 2012 A comprehensive framework for detecting and tracking space objects

Jin-Ze Song, Yuan-Xiang Li, Ji Shen, Feng-Bo Wu

Proceedings Volume 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies; 83500H (2012) https://doi.org/10.1117/12.920345
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

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.

Citation Download Citation

Jin-Ze Song, Yuan-Xiang Li, Ji Shen, and Feng-Bo Wu "A comprehensive framework for detecting and tracking space objects", Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 83500H (12 January 2012); https://doi.org/10.1117/12.920345

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KEYWORDS

Detection and tracking algorithms

Target detection

Video

Stars

Digital filtering

Linear filtering

Feature extraction

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