A Cross-Scale and Illumination Invariance-Based Model for Robust Object Detection in Traffic Surveillance Scenarios-Reference-Cited by-同舟云学术

A Cross-Scale and Illumination Invariance-Based Model for Robust Object Detection in Traffic Surveillance Scenarios

Published:2023-07 Issue:7 Volume:24 Page:6989-6999
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Lu Yan-Feng¹^ORCID,Gao Jing-Wen²,Yu Qian²,Li Yi³^ORCID,Lv Yi-Sheng¹^ORCID,Qiao Hong¹^ORCID

Affiliation:

1. State Key Laboratory of Multimodal Artificial Intelligence Systems and the State Key Laboratory of Management and Control for Complex System, Institute of Automation, Chinese Academy of Sciences, Beijing, China

2. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China

3. School of Information Engineering, Nanchang University, Nanchang, China

Funder

National Key Research and Development Plan of China

Beijing Natural Science Foundation

National Natural Science Foundation of China

Strategic Priority Research Program of the Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10175858/10101710.pdf?arnumber=10101710

Reference48 articles.

1. B-HMAX: A fast binary biologically inspired model for object recognition

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5. Lightness and Retinex Theory

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