Improving the visibility of nighttime images for pedestrian recognition using in‐vehicle camera

Author:

Ogura Ryota1,Nagasaki Takeshi1,Matsubara Hitoshi1

Affiliation:

1. Future University Hakodate Hakodate Hokkaido Japan

Publisher

Wiley

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Networks and Communications,General Physics and Astronomy,Signal Processing

Reference23 articles.

1. Pedestrian Recognition Using High-definition LIDAR

2. DalalN TriggsB.Histograms of oriented gradients for human detection. IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2005;886‐893.

3. SermanetP KavukcuogluK ChinatalaS LeCunY.Pedestrian detection with unsupervised multi‐stage feature learning. IEEE Computer Society Conference on Computer Vision and Pattern Recognition 3626‐3633(2013).

4. Image feature descriptor using co‐occurrence histograms of oriented gradients for human detection;Watanabe T;J. Inst Image Informat Television Eng,2017

5. DollarP TuZ PeronaP BelongieS.Integral channel features. British Machine Vision Conference 91.1‐91.11 (2009).

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3. Improving Single-Stage Object Detectors for Nighttime Pedestrian Detection;International Journal of Pattern Recognition and Artificial Intelligence;2022-07

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