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Proceedings Paper

Detection of small moving objects in image sequences
Author(s): Jicheng Li; Zhenkang Shen; Biao Li
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Paper Abstract

This paper describes a new detection approach for small moving objects in noisy image sequences. This algorithm consists of pre-detection and post-detection. The pre-detection algorithm uses a multiple-median filter and an adaptive thresholding to suppress background clutter and enhance small targets. Where an estimate of the local clutter and noise are first done, the clutter and noise estimate are then subtracted from the primary image data to yield residuals that are potential targets. Finally the adaptive thresholding is used to turn residual images into binary images. Post-detection is performed on the binary image sequences. The only a priori information required in the post-detection technique is the maximum velocity of objects in sequence images. It uses the temporal continuity of the trajectories of moving targets to enhance the probability of detection and suppresses the probability of false alarm. Some results on two-dimensional infrared image sequences are presented.

Paper Details

Date Published: 23 June 1997
PDF: 7 pages
Proc. SPIE 3069, Automatic Target Recognition VII, (23 June 1997); doi: 10.1117/12.277136
Show Author Affiliations
Jicheng Li, National Univ. of Defense Technology (China)
Zhenkang Shen, National Univ. of Defense Technology (China)
Biao Li, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 3069:
Automatic Target Recognition VII
Firooz A. Sadjadi, Editor(s)

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