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Proceedings Paper

Discrimination, tracking, and recognition of small and fast-moving objects
Author(s): Jie Wei; Izidor Gertner
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Paper Abstract

In military applications it is of utmost importance to detect and identify targets from Infra-Red (IR) sequences. Usually the targets of interest are of small size and moving with great velocity. In addition, the IR sequences are extremely noisy due to rampant systemic noise incurred by the sensing instrument and the noise from the environment. In this paper, we developed a method which can effectively detect and identify the targets of interest form the noisy IR sequences using the manipulation of both the temporal, spectral, and spatial bandpass filtering. With this method, first a bandpass filtering in the spectral domain is conducted in order to remove noises, especially the systemic ones. Next the candidate target locations are declared through a spectral bandpassing from the temporal pixel process, where by taking advantage of the fact that the targets of interest are fast moving the background and random noises are largely removed. The estimated targets of interest for each IR frame are further refined after a post- processing in the spatial domain. The final targets of interest are then declared after a consistency check-up across adjacent IR frames by use of an adaptive Hough transform. Experimental results based on this proposed method have suggested desirable performance.

Paper Details

Date Published: 25 July 2002
PDF: 14 pages
Proc. SPIE 4726, Automatic Target Recognition XII, (25 July 2002); doi: 10.1117/12.477033
Show Author Affiliations
Jie Wei, CUNY/City College (United States)
Izidor Gertner, CUNY/City College (United States)


Published in SPIE Proceedings Vol. 4726:
Automatic Target Recognition XII
Firooz A. Sadjadi, Editor(s)

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