Colliding Bodies Optimization With Deep Belief Network Based Robust Pedestrian Detection-Reference-Cited by-同舟云学术

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Colliding Bodies Optimization With Deep Belief Network Based Robust Pedestrian Detection

Published:2023 Issue: Volume:11 Page:65084-65092
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sabir Maha Farouk¹^ORCID,Oqaibi Hadi¹^ORCID,Binyamin Sami Saeed²^ORCID,Althaqafi Turki³,Ragab Mahmoud⁴^ORCID

Affiliation:

1. Information Systems Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

2. Computer and Information Technology Department, The Applied College, King Abdulaziz University, Jeddah, Saudi Arabia

3. Information Systems Department, HECI School, Dar Al-Hekma University, Jeddah, Saudi Arabia

4. Information Technology Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

Funder

Deanship of Scientific Research (DSR) at King Abdulaziz University (KAU), Jeddah, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10155130.pdf?arnumber=10155130

Reference30 articles.

1. Faster R-CNN Deep Learning Model for Pedestrian Detection from Drone Images

2. Deep Learning Framework for Vehicle and Pedestrian Detection in Rural Roads on an Embedded GPU

3. Enhanced pedestrian detection using optimized deep convolution neural network for smart building surveillance

4. A Pedestrian Detection Method Based on Genetic Algorithm for Optimize XGBoost Training Parameters

5. Arithmetic Optimization with Deep Learning Enabled Anomaly Detection in燬mart City

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1. Bioinspired Garra Rufa Optimization-Assisted Deep Learning Model for Object Classification on Pedestrian Walkways;Biomimetics;2023-11-11

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