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Proceedings Paper

New approach for locating multiple targets
Author(s): Zhonghao Bao; Gerald M. Flachs
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Paper Abstract

The research presented in this paper is focused on the development of mathematical foundations and algorithm for locating multiple targets on film images. A locator algorithm with firm mathematical foundations has been developed to locate multiple targets. The algorithm is based upon the assumption that an image is composed of a mixture of component distributions, stemming from the different background and target regions in the image. Using both a maximum likelihood estimator and iterative clustering algorithm, a locator algorithm was developed to separate the mixture into its major components. Having the components of the mixture, objects are located by classifying the components of mixture and recognizing the targets based upon their size and shape. The algorithm has been tested on a set of images that were selected based upon anticipated difficult situations. The algorithm has demonstrated the ability to locate multiple objects in noisy and cluttered background scenes.

Paper Details

Date Published: 10 June 1994
PDF: 11 pages
Proc. SPIE 2232, Signal Processing, Sensor Fusion, and Target Recognition III, (10 June 1994); doi: 10.1117/12.177759
Show Author Affiliations
Zhonghao Bao, New Mexico State Univ. (United States)
Gerald M. Flachs, New Mexico State Univ. (United States)


Published in SPIE Proceedings Vol. 2232:
Signal Processing, Sensor Fusion, and Target Recognition III
Ivan Kadar; Vibeke Libby, Editor(s)

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