Design of pedestrian detectors using combinations of scale spaces and classifiers-Reference-Cited by-同舟云学术

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Design of pedestrian detectors using combinations of scale spaces and classifiers

Published:2019-07 Issue: Volume: Page:
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Das Amlan Jyoti,Saikia Navajit

Funder

Department of Science and Technology, Govt. of India

Publisher

Elsevier BV

Subject

General Computer Science

Reference32 articles.

1. Fast explicit diffusion for accelerated features in nonlinear scale spaces;Alcantarilla,2013

2. On comprehensive analysis of learning algorithms on pedestrian detection using shape features;Ardiyanto;J. Intell. Fuzzy Syst. (Preprint),2018

3. Fast and efficient pedestrian detection via the cascade implementation of an additive kernel support vector machine;Baek;IEEE Trans. Intell. Transp. Syst.,2017

4. Part-based feature synthesis for human detection;Bar-Hillel,2010

5. Histograms of oriented gradients for human detection;Dalal,2005

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. Multi-scale cross-layer fusion and center position network for pedestrian detection;Journal of King Saud University - Computer and Information Sciences;2024-01

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