10 June 1994 New approach for locating multiple targets
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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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhonghao Bao, Zhonghao Bao, Gerald M. Flachs, Gerald M. Flachs, "New approach for locating multiple targets", Proc. SPIE 2232, Signal Processing, Sensor Fusion, and Target Recognition III, (10 June 1994); doi: 10.1117/12.177759; https://doi.org/10.1117/12.177759


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