Moving Pedestrian Localization and Detection With Guided Filtering-Reference-Cited by-同舟云学术

Moving Pedestrian Localization and Detection With Guided Filtering

Published:2022 Issue: Volume:10 Page:89181-89196
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Muchtar Kahlil¹^ORCID,Bahri Al¹,Fitria Maya¹,Cenggoro Tjeng Wawan²^ORCID,Pardamean Bens³^ORCID,Mahendra Adhiguna⁴,Munggaran Muhammad Rizky⁴,Lin Chih-Yang⁵^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia

2. Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia

3. Computer Science Department, BINUS Graduate Program-Master of Computer Science Program, Bina Nusantara University, Jakarta, Indonesia

4. Nodeflux, Jakarta, Indonesia

5. Department of Electrical Engineering, Yuan Ze University, Taoyuan City, Taiwan

Funder

Ministry of Education, Culture, Research, and Technology of the Republic of Indonesia under the 2022 Applied Research Grant

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/ielx7/6287639/9668973/09861648.pdf?arnumber=9861648

Reference60 articles.

1. Combining static and dynamic features for real-time moving pedestrian detection

2. An HOG-LBP human detector with partial occlusion handling

3. Histograms of Oriented Gradients for Human Detection

4. A review on pedestrian detection techniques based on Histogram of Oriented gradient feature

5. A versatile edge preserving image enhancement approach for medical images using guided filter

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