Paper
25 July 2002 Discrimination, tracking, and recognition of small and fast-moving objects
Jie Wei, Izidor Gertner
Author Affiliations +
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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jie Wei and Izidor Gertner "Discrimination, tracking, and recognition of small and fast-moving objects", Proc. SPIE 4726, Automatic Target Recognition XII, (25 July 2002); https://doi.org/10.1117/12.477033
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Bandpass filters

Hough transforms

Optical filters

Image processing

Target detection

Sensors

Algorithm development

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