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Abstract

An electro-optical system which integrates the image pattern information, extracted from a plurality of image frames and identified as belonging to a common candidate object, to form a composite image pattern of the candidate object which may be accurately classified with respect to a reference object image pattern is disclosed. More specifically, the formed composite image pattern of the candidate object is correlated with each image pattern of a set of reference object image patterns to generate a corresponding set of correlation values. Preferably, the largest of the correlation values is selected for a comparison with a threshold correlation value. In the event the generated correlation value exceeds the threshold correlation value, the candidate object represented by the composite image pattern is classified as the referenced object corresponding to the selected correlation value. Another aspect of the electro-optical system permits the threshold correlation value to be adaptively selected in accordance with the number of frames integrated to form the composite image pattern under consideration for classification. In addition, a final classification of the candidate object may include the smoothing of a plurality of classification decisions generated throughout the integration sequence during which a number of composite image patterns are formed.

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First Claim