Near-Infrared-Based Nighttime Pedestrian Detection Using Grouped Part Models-Reference-Cited by-同舟云学术

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Near-Infrared-Based Nighttime Pedestrian Detection Using Grouped Part Models

Published:2015-08 Issue:4 Volume:16 Page:1929-1940
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Lee Yi-Shu,Chan Yi-Ming,Fu Li-Chen,Hsiao Pei-Yung

Funder

Nat'l Chun-Shan Institute of Sci. & Tech. and Ministry of Sci. & Tech.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/7174612/07039272.pdf?arnumber=7039272

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2. RCSLFNet: a novel real-time pedestrian detection network based on re-parameterized convolution and channel-spatial location fusion attention for low-resolution infrared image;Journal of Real-Time Image Processing;2024-05-11

3. Application of intelligent algorithms in the field of computer vision;Intelligent Algorithms;2024

4. A systematic literature review on object detection using near infrared and thermal images;Neurocomputing;2023-12

5. Forward-looking omnidirectional infrared pedestrian detection for driver assistance;Multimedia Tools and Applications;2023-04-29

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