An adaptive region-division algorithm combines YOLOv3 detection for nearby pedestrians with an inception dilated CNN for distant heads, lowering mean absolute error on a five-scene subway dataset.
[2] and used 2D gaussian kernel to model one pedestrian
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Dynamic Region Division for Adaptive Learning Pedestrian Counting
An adaptive region-division algorithm combines YOLOv3 detection for nearby pedestrians with an inception dilated CNN for distant heads, lowering mean absolute error on a five-scene subway dataset.