Velocity analysis on moving objects detection using multi-scale histogram of oriented gradient

An autonomous car is a one-of-a-kind specimen in today's technology. It is an automatic system in which most of the duties that humans undertake in the car can be done automatically with minimum human supervision for road safety features. Moving automobile detections, on the other hand, are pro...

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Main Authors: Yee, Lai Kok, Muhammad Syahmi, Mohd Yusoff, Ken, Tan Lit, Asako, Yutaka, Lee, Kee Quen, Kang, Hooi Siang, Siang, Gan Yee, Chuan, Zunliang, Tey, Wah Yen, Abdul Muhaimin, Zahari, Hoo, Kok Chee
Format: Article
Language:English
Published: Semarak Ilmu Publishing 2023
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/40947/
http://umpir.ump.edu.my/id/eprint/40947/1/Velocity%20analysis%20on%20moving%20objects%20detection%20using%20multi-scale.pdf
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author Yee, Lai Kok
Muhammad Syahmi, Mohd Yusoff
Ken, Tan Lit
Asako, Yutaka
Lee, Kee Quen
Kang, Hooi Siang
Siang, Gan Yee
Chuan, Zunliang
Tey, Wah Yen
Abdul Muhaimin, Zahari
Hoo, Kok Chee
author_facet Yee, Lai Kok
Muhammad Syahmi, Mohd Yusoff
Ken, Tan Lit
Asako, Yutaka
Lee, Kee Quen
Kang, Hooi Siang
Siang, Gan Yee
Chuan, Zunliang
Tey, Wah Yen
Abdul Muhaimin, Zahari
Hoo, Kok Chee
author_sort Yee, Lai Kok
building UMP Institutional Repository
collection Online Access
description An autonomous car is a one-of-a-kind specimen in today's technology. It is an automatic system in which most of the duties that humans undertake in the car can be done automatically with minimum human supervision for road safety features. Moving automobile detections, on the other hand, are prone to more mistakes and can result in undesirable situations such as minor car wrecks. Moving vehicle identification is now done using high-speed cameras or LiDAR, for example, whereas self-driving cars are produced with deep learning, which requires much larger datasets. As a result, there may be greater space for improvement in the moving vehicle detection model. This research intends to create another moving car recognition model that uses multi-scale feature-based detection to improve the model's accuracy while also determining the maximum speed at which the model can detect moving objects. The recommended methodology was to create a lab-scale model that can be used as a guide for video and image capture on the lab-scale model, as well as the speed of the toy vehicles captured from the Arduino Uno machine before testing the car recognition model. According to the data, Multi-Scale Histogram of Oriented Gradient can recognize more objects than Histogram of Oriented Gradient with higher object identification accuracies and precision.
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institution Universiti Malaysia Pahang
institution_category Local University
language English
last_indexed 2025-11-15T03:40:55Z
publishDate 2023
publisher Semarak Ilmu Publishing
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spelling ump-409472024-05-28T08:09:58Z http://umpir.ump.edu.my/id/eprint/40947/ Velocity analysis on moving objects detection using multi-scale histogram of oriented gradient Yee, Lai Kok Muhammad Syahmi, Mohd Yusoff Ken, Tan Lit Asako, Yutaka Lee, Kee Quen Kang, Hooi Siang Siang, Gan Yee Chuan, Zunliang Tey, Wah Yen Abdul Muhaimin, Zahari Hoo, Kok Chee Q Science (General) QA Mathematics An autonomous car is a one-of-a-kind specimen in today's technology. It is an automatic system in which most of the duties that humans undertake in the car can be done automatically with minimum human supervision for road safety features. Moving automobile detections, on the other hand, are prone to more mistakes and can result in undesirable situations such as minor car wrecks. Moving vehicle identification is now done using high-speed cameras or LiDAR, for example, whereas self-driving cars are produced with deep learning, which requires much larger datasets. As a result, there may be greater space for improvement in the moving vehicle detection model. This research intends to create another moving car recognition model that uses multi-scale feature-based detection to improve the model's accuracy while also determining the maximum speed at which the model can detect moving objects. The recommended methodology was to create a lab-scale model that can be used as a guide for video and image capture on the lab-scale model, as well as the speed of the toy vehicles captured from the Arduino Uno machine before testing the car recognition model. According to the data, Multi-Scale Histogram of Oriented Gradient can recognize more objects than Histogram of Oriented Gradient with higher object identification accuracies and precision. Semarak Ilmu Publishing 2023-09 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/40947/1/Velocity%20analysis%20on%20moving%20objects%20detection%20using%20multi-scale.pdf Yee, Lai Kok and Muhammad Syahmi, Mohd Yusoff and Ken, Tan Lit and Asako, Yutaka and Lee, Kee Quen and Kang, Hooi Siang and Siang, Gan Yee and Chuan, Zunliang and Tey, Wah Yen and Abdul Muhaimin, Zahari and Hoo, Kok Chee (2023) Velocity analysis on moving objects detection using multi-scale histogram of oriented gradient. Journal of Advanced Research in Applied Mechanics, 109 (1). pp. 35-43. ISSN 2289-7895. (Published) https://doi.org/10.37934/aram.109.1.3543 https://doi.org/10.37934/aram.109.1.3543
spellingShingle Q Science (General)
QA Mathematics
Yee, Lai Kok
Muhammad Syahmi, Mohd Yusoff
Ken, Tan Lit
Asako, Yutaka
Lee, Kee Quen
Kang, Hooi Siang
Siang, Gan Yee
Chuan, Zunliang
Tey, Wah Yen
Abdul Muhaimin, Zahari
Hoo, Kok Chee
Velocity analysis on moving objects detection using multi-scale histogram of oriented gradient
title Velocity analysis on moving objects detection using multi-scale histogram of oriented gradient
title_full Velocity analysis on moving objects detection using multi-scale histogram of oriented gradient
title_fullStr Velocity analysis on moving objects detection using multi-scale histogram of oriented gradient
title_full_unstemmed Velocity analysis on moving objects detection using multi-scale histogram of oriented gradient
title_short Velocity analysis on moving objects detection using multi-scale histogram of oriented gradient
title_sort velocity analysis on moving objects detection using multi-scale histogram of oriented gradient
topic Q Science (General)
QA Mathematics
url http://umpir.ump.edu.my/id/eprint/40947/
http://umpir.ump.edu.my/id/eprint/40947/
http://umpir.ump.edu.my/id/eprint/40947/
http://umpir.ump.edu.my/id/eprint/40947/1/Velocity%20analysis%20on%20moving%20objects%20detection%20using%20multi-scale.pdf