Cascaded Multi-Task Learning of Head Segmentation and Density Regression for RGBD Crowd Counting

Cascaded Multi-Task Learning of Head Segmentation and Density Regression for RGBD Crowd Counting

In this paper we propose a novel regression based RGBD crowd counting method. Compared with previous RGBD crowd counting methods which mainly exploit depth cue to facilitate person/head detection, our approach adopts density map regression and is more robust to severe occlusion under dense crowded s...

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Bibliographic Details
Main Authors: Desen Zhou, Qian He
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Crowd counting
depth map
density estimation
head segmentation
Online Access:https://ieeexplore.ieee.org/document/9103541/

Internet

https://ieeexplore.ieee.org/document/9103541/

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