Identifying movement of object in multiple images via particle swarm optimization algorithm / Mohd Haidhar Iqbal Hassan

Human eyes are limited to only what they can perceived. Sometimes, there exist additional information in images that cannot be identified by simply looking at one part. Movement of objects in multiple photographs for example is very vague and can only be identified with thorough inspection. For exam...

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Bibliographic Details
Main Author:	Iqbal Hassan, Mohd Haidhar
Format:	Student Project
Language:	English
Published:	Faculty of Computer and Mathematical Sciences 2016
Online Access:	http://ir.uitm.edu.my/id/eprint/18170/ http://ir.uitm.edu.my/id/eprint/18170/2/PPb_MOHD%20HAIDHAR%20IQBAL%20HASSAN%20CS%2016_5.pdf

id	uitm-18170
recordtype	eprints
spelling	uitm-181702019-05-13T06:10:51Z http://ir.uitm.edu.my/id/eprint/18170/ Identifying movement of object in multiple images via particle swarm optimization algorithm / Mohd Haidhar Iqbal Hassan Iqbal Hassan, Mohd Haidhar Human eyes are limited to only what they can perceived. Sometimes, there exist additional information in images that cannot be identified by simply looking at one part. Movement of objects in multiple photographs for example is very vague and can only be identified with thorough inspection. For example, similar to one game and that is a spot the difference of images. When human test this game it maybe take a few minutes to spot the difference from that images and sometimes the result is incorrect. Then this project wants to achieve better than human result. This project used one of algorithm from category Evolutionary Computing (EC) and that algorithm is Particle Swarm Optimization (PSO). Every algorithm or technique has their own process to solve the problem. EC optimize the problem by considering different criteria in order to find its optima. For image processing, EC has the potential to optimize in terms of identifying moving objects as digital images has a lot of criteria to be considered. In PSO algorithm, it solved the problem by using their own process such as particle initialization, evaluate fitness, convergence and other things. This propose of this project is to design and develop a prototype to identify moving objects in multiple images using PSO algorithm. Faculty of Computer and Mathematical Sciences 2016 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/18170/2/PPb_MOHD%20HAIDHAR%20IQBAL%20HASSAN%20CS%2016_5.pdf Iqbal Hassan, Mohd Haidhar (2016) Identifying movement of object in multiple images via particle swarm optimization algorithm / Mohd Haidhar Iqbal Hassan. [Student Project] (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
description	Human eyes are limited to only what they can perceived. Sometimes, there exist additional information in images that cannot be identified by simply looking at one part. Movement of objects in multiple photographs for example is very vague and can only be identified with thorough inspection. For example, similar to one game and that is a spot the difference of images. When human test this game it maybe take a few minutes to spot the difference from that images and sometimes the result is incorrect. Then this project wants to achieve better than human result. This project used one of algorithm from category Evolutionary Computing (EC) and that algorithm is Particle Swarm Optimization (PSO). Every algorithm or technique has their own process to solve the problem. EC optimize the problem by considering different criteria in order to find its optima. For image processing, EC has the potential to optimize in terms of identifying moving objects as digital images has a lot of criteria to be considered. In PSO algorithm, it solved the problem by using their own process such as particle initialization, evaluate fitness, convergence and other things. This propose of this project is to design and develop a prototype to identify moving objects in multiple images using PSO algorithm.
format	Student Project
author	Iqbal Hassan, Mohd Haidhar
spellingShingle	Iqbal Hassan, Mohd Haidhar Identifying movement of object in multiple images via particle swarm optimization algorithm / Mohd Haidhar Iqbal Hassan
author_facet	Iqbal Hassan, Mohd Haidhar
author_sort	Iqbal Hassan, Mohd Haidhar
title	Identifying movement of object in multiple images via particle swarm optimization algorithm / Mohd Haidhar Iqbal Hassan
title_short	Identifying movement of object in multiple images via particle swarm optimization algorithm / Mohd Haidhar Iqbal Hassan
title_full	Identifying movement of object in multiple images via particle swarm optimization algorithm / Mohd Haidhar Iqbal Hassan
title_fullStr	Identifying movement of object in multiple images via particle swarm optimization algorithm / Mohd Haidhar Iqbal Hassan
title_full_unstemmed	Identifying movement of object in multiple images via particle swarm optimization algorithm / Mohd Haidhar Iqbal Hassan
title_sort	identifying movement of object in multiple images via particle swarm optimization algorithm / mohd haidhar iqbal hassan
publisher	Faculty of Computer and Mathematical Sciences
publishDate	2016
url	http://ir.uitm.edu.my/id/eprint/18170/ http://ir.uitm.edu.my/id/eprint/18170/2/PPb_MOHD%20HAIDHAR%20IQBAL%20HASSAN%20CS%2016_5.pdf
first_indexed	2023-09-18T22:59:55Z
last_indexed	2023-09-18T22:59:55Z
_version_	1777418104410734592

Identifying movement of object in multiple images via particle swarm optimization algorithm / Mohd Haidhar Iqbal Hassan

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