Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization

CVPR 2019 Dongze Lian Jing Li Jia Zheng Weixin Luo Shenghua Gao

To simultaneously estimate head counts and localize heads with bounding boxes, a regression guided detection network (RDNet) is proposed for RGB-D crowd counting. Specifically, to improve the robustness of detection-based approaches for small/tiny heads, we leverage density map to improve the head/non-head classification in detection network where density map serves as the probability of a pixel being a head... (read more)

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