An objective method for pedestrian occlusion level classification-Reference-Cited by-同舟云学术

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An objective method for pedestrian occlusion level classification

Published:2022-12 Issue: Volume:164 Page:96-103
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Gilroy Shane^ORCID,Glavin Martin,Jones Edward,Mullins Darragh

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference40 articles.

1. Feature calibration network for occluded pedestrian detection;Zhang;IEEE Trans. Intell. Transp. Syst.,2020

2. The illusion of absence: how a common feature of magic shows can explain a class of road accidents;Vebjørn;Cognit. Res.,2021

3. Overcoming occlusion in the automotive environment-a review;Gilroy;IEEE Trans. Intell. Transp. Syst.,2019

4. Survey of pedestrian detection with occlusion;Ning;Complex Intell. Syst.,2021

5. From handcrafted to deep features for pedestrian detection: a survey;Cao;IEEE Trans. Pattern Anal. Mach. Intell.,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Replacing the human driver: An objective benchmark for occluded pedestrian detection;Biomimetic Intelligence and Robotics;2023-09

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