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Recent research has been devoted to detecting people in images and videos. In this paper, a human detection method based on Histogram of Oriented Gradients (HoG) features and human body ratio estimation is presented. We utilized the discriminative power of HoG features for human detection, and implemented motion detection and local regions sliding window classifier, to obtain a rich descriptor set...
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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