OAF-Net: An Occlusion-Aware Anchor-Free Network for Pedestrian Detection in a Crowd-Reference-Cited by-同舟云学术

OAF-Net: An Occlusion-Aware Anchor-Free Network for Pedestrian Detection in a Crowd

Published:2022-11 Issue:11 Volume:23 Page:21291-21300
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Li Qiming¹^ORCID,Su Yijing¹,Gao Yin¹,Xie Feng²,Li Jun¹

Affiliation:

1. Laboratory of Robotics and Intelligent Systems, Quanzhou Institute of Equipment Manufacturing, Haixi Institute, Chinese Academy of Sciences, Quanzhou, Fujian, China

2. Department of Traffic and Assistance, Institute of Automation and Communication, Magdeburg, Germany

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province of China

Science and Technology Program of Quanzhou

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9942712/09770474.pdf?arnumber=9770474

Reference77 articles.

1. PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes

2. Temporal-Context Enhanced Detection of Heavily Occluded Pedestrians

3. Pedestrian Detection With Autoregressive Network Phases

4. What Can Help Pedestrian Detection?

5. Relation Networks for Object Detection

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