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Color histograms are usually used as the color feature vectors for classifying the color of objects in images. We reduce the dimension of the feature vector by a factor of about 30 by using a naive Bayesian classifier, and use the resulting feature vectors with a support vector machine to recognize vehicle colors. Experiments show that the recognition rate is close to that achieved with the original...
In this paper, we present an extension to the recurrent motion image (RMI) motion-based object recognition framework for use in development of automated video surveillance systems. We extended the object classes of RMI to include four-legged animals (such as dog and cat) and enhanced the preprocessing and shadow removal algorithms for better object segmentation and recognition. Under the new framework,...
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