A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method

A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method

In video tracking system, the big data era has brought with it new challenges to computer vision and image understanding. The main challenges are using the conventional method is the uncertainty in the accuracy and precision of the detected object motion. Furthermore, the process of detected an obje...

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Main Authors: Zalili, Musa, Mohd Hafiz, Mohd Hassin, Nurul Izzatie Husna, Fauzi, Rohani, Abu Bakar, Watada, Junzo
Format: Article
Language:English
Published: American Scientific Publisher 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/20129/
http://umpir.ump.edu.my/id/eprint/20129/
http://umpir.ump.edu.my/id/eprint/20129/
http://umpir.ump.edu.my/id/eprint/20129/1/A%20New%20Approach%20of%20Optimal%20Search%20Solution%20in%20Particle%20Swarm%20Optimization.pdf
id ump-20129
recordtype eprints
spelling ump-201292018-11-22T05:09:15Z http://umpir.ump.edu.my/id/eprint/20129/ A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method Zalili, Musa Mohd Hafiz, Mohd Hassin Nurul Izzatie Husna, Fauzi Rohani, Abu Bakar Watada, Junzo TK Electrical engineering. Electronics Nuclear engineering In video tracking system, the big data era has brought with it new challenges to computer vision and image understanding. The main challenges are using the conventional method is the uncertainty in the accuracy and precision of the detected object motion. Furthermore, the process of detected an object in every frame is time consuming as the entire frame must be detected to precisely locate the object system. Therefore, to overcome the several problems associated with the object detection method, a new approach in Particle Swarm Optimization (PSO) algorithm for optimal search solution as an alternative method to detect of object tracking quickly, precisely and accurately. Finally, performance analysis will be undertaken to justify the strength of the proposed method over conventional algorithm can reduce more than 60% of the required number of particles and iteration. American Scientific Publisher 2018-11 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/20129/1/A%20New%20Approach%20of%20Optimal%20Search%20Solution%20in%20Particle%20Swarm%20Optimization.pdf Zalili, Musa and Mohd Hafiz, Mohd Hassin and Nurul Izzatie Husna, Fauzi and Rohani, Abu Bakar and Watada, Junzo (2018) A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method. Advanced Science Letters, 24 (10). pp. 7682-7685. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.12999 doi: 10.1166/asl.2018.12999
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Zalili, Musa
Mohd Hafiz, Mohd Hassin
Nurul Izzatie Husna, Fauzi
Rohani, Abu Bakar
Watada, Junzo
A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method
description In video tracking system, the big data era has brought with it new challenges to computer vision and image understanding. The main challenges are using the conventional method is the uncertainty in the accuracy and precision of the detected object motion. Furthermore, the process of detected an object in every frame is time consuming as the entire frame must be detected to precisely locate the object system. Therefore, to overcome the several problems associated with the object detection method, a new approach in Particle Swarm Optimization (PSO) algorithm for optimal search solution as an alternative method to detect of object tracking quickly, precisely and accurately. Finally, performance analysis will be undertaken to justify the strength of the proposed method over conventional algorithm can reduce more than 60% of the required number of particles and iteration.
format Article
author Zalili, Musa
Mohd Hafiz, Mohd Hassin
Nurul Izzatie Husna, Fauzi
Rohani, Abu Bakar
Watada, Junzo
author_facet Zalili, Musa
Mohd Hafiz, Mohd Hassin
Nurul Izzatie Husna, Fauzi
Rohani, Abu Bakar
Watada, Junzo
author_sort Zalili, Musa
title A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method
title_short A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method
title_full A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method
title_fullStr A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method
title_full_unstemmed A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method
title_sort new approach of optimal search solution in particle swarm optimization (pso) algorithm for object detection method
publisher American Scientific Publisher
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/20129/
http://umpir.ump.edu.my/id/eprint/20129/
http://umpir.ump.edu.my/id/eprint/20129/
http://umpir.ump.edu.my/id/eprint/20129/1/A%20New%20Approach%20of%20Optimal%20Search%20Solution%20in%20Particle%20Swarm%20Optimization.pdf
first_indexed 2023-09-18T22:28:51Z
last_indexed 2023-09-18T22:28:51Z
_version_ 1777416149469757440

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