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

doi:10.1109/ACCESS.2020.2998678

	Cascaded Multi-Task Learning of Head Segmentation and Density Regression for RGBD Crowd Counting
	Desen Zhou1,2,3 ; Qian He1,2,3
	2020
发表期刊	IEEE ACCESS (IF:3.4[JCR-2023],3.7[5-Year])
ISSN	2169-3536
卷号	8
发表状态	已发表
DOI	10.1109/ACCESS.2020.2998678
摘要	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 scenarios. We develop a cascaded depth-aware counting network that jointly performs head segmentation and density map regression. Our network explicitly feeds depth map at each stage so that depth cues are sufficiently exploited. The multi-task strategy allows the network to explicitly attent to foreground regions of a crowd scene and improve density regression. To generate the ground truth of head segmentation and density map, we propose a head scale estimation method according to the basic geometric assumption and camera projection function. Experiments on two public RGBD crowd counting benchmarks, ShanghaiTechRGBD dataset and MICC dataset show that the proposed method achieves new state-of-the-art on both datasets. Further, our method can be easily extended to RGB datasets and achieves comparable performances on WorldExpo'10 dataset and UCF-QNRF dataset.
URL	查看原文
收录类别	SCI ; EI ; SCIE
来源库	IEEE
引用统计	正在获取...
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/122190
专题	信息科学与技术学院_硕士生信息科学与技术学院_博士生
作者单位	1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 2.Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China 3.University of Chinese Academy of Sciences, Beijing, China
第一作者单位	信息科学与技术学院
第一作者的第一单位	信息科学与技术学院
推荐引用方式 GB/T 7714	Desen Zhou,Qian He. Cascaded Multi-Task Learning of Head Segmentation and Density Regression for RGBD Crowd Counting[J]. IEEE ACCESS,2020,8.
APA	Desen Zhou,&Qian He.(2020).Cascaded Multi-Task Learning of Head Segmentation and Density Regression for RGBD Crowd Counting.IEEE ACCESS,8.
MLA	Desen Zhou,et al."Cascaded Multi-Task Learning of Head Segmentation and Density Regression for RGBD Crowd Counting".IEEE ACCESS 8(2020).