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Robust correlation tracker

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Abstract

Correlation tracking plays an important role in the automation of weapon systems. Area correlation is an effective technique for tracking targets that have neither prominent features nor high contrast with the background and the ‘target’ can even be an area or a scene of interest. Even though this technique is robust under varying conditions of target background and light conditions, it has some problems like target drift and false registration. When the tracker or target is moving, the registration point drifts due to the discrete pixel size and aspect angle change.

In this research work, an attempt has been made to improve the performance of a correlation tracker for tracking ground targets with very poor contrast. In the present work only the CCD visible images with very poor target to background contrast are considered.

Applying novel linear and nonlinear filters, the problems present in the correlation tracker are overcome. Confidence and redundancy measures have been proposed to improve the performance by detecting misregistration. The proposed algorithm is tested on different sequences of images and its performance is satisfactory.

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Authors and Affiliations

  1. Research Centre Imarat, Vignyanakancha PO, 500 069, Hyderabad, India

    M. Sankar Kishore & K. Veerabhadra Rao

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  1. M. Sankar Kishore
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  2. K. Veerabhadra Rao
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Kishore, M.S., Rao, K.V. Robust correlation tracker. Sadhana 26, 227–236 (2001). https://doi.org/10.1007/BF02703384

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  • DOI: https://doi.org/10.1007/BF02703384

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