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Using context to improve cascaded pedestrian detection
2014 International SoC Design Conference (ISOCC)
The design of a fast and accurate pedestrian detector is considered. A system combining a fast cascaded pedestrian detector and a pedestrian validator is proposed. The detector first scans the image of interest and proposes a set of candidate bounding boxes. The pedestrian validator then decides if each proposed bounding box is consistent with a true pedestrian, based on scene context. Experiments show that the resulting system is faster and more accurate than current approaches to pedestrian detection.doi:10.1109/isocc.2014.7087672 fatcat:qkuyddiwiffvbjee7znyid6ilm