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Pedestrian detection for surveillance video, which is the basic of person re-identification, aims to capture the pedestrians in the monitors. However, the existing pedestrian detection algorithms still have two issues: (1) The recall and precision are not applicable for complicated scenes; (2) It is limited for processing the high-resolution video in real-time. Therefore, pedestrian detection algorithm...
Image segmentation is very essential and critical to image processing and pattern recognition. In order to extract the feature stars, a novel method for image segmentation by use of nonsubsampled contourlet transform (NSCT) is provided by this paper. The space images are transformed by the NSCT, and then the magnitude of the NSCT coefficients of all the directional subbands at a specific level are...
We present a registration algorithm for automatic, robust SAR (Synthetic Aperture Radar) image alignment. The registration problem is handled using sparse feature representation, which comprises local feature localization and description. The feature location is determined by detecting bifurcation structure in edge image and its orientation is assigned using corresponding bifurcation structure type...
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