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A BIOLOGICALLY INSPIRED OBJECT RECOGNITION SYSTEM

Object Recognition has been a field of interest to many researchers. In fact, it has been referred to as the most important problem in machine or computer vision. Researchers have developed many algorithms to solve the problem of object recognition that are machine vision motivated. On the other han...

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Main Authors:	Hamada , R. H. Al-Absi, Azween, Abdullah
Format:	Thesis
Published:	2010
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utp.edu.my/2738/1/HamadaCOPY1Latest-19-08.pdf http://eprints.utp.edu.my/2738/
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spelling	my.utp.eprints.27382017-01-19T08:24:42Z A BIOLOGICALLY INSPIRED OBJECT RECOGNITION SYSTEM Hamada , R. H. Al-Absi Azween, Abdullah QA75 Electronic computers. Computer science Object Recognition has been a field of interest to many researchers. In fact, it has been referred to as the most important problem in machine or computer vision. Researchers have developed many algorithms to solve the problem of object recognition that are machine vision motivated. On the other hand, biology has motivated researchers to study the visual system of humans and animals such as monkeys and map it into a computational model. Some of these models are based on the feed-forward mechanism of information communication in cortex where the information is communicated between the different visual areas from the lower areas to the top areas in a feed-forward manner; however, the performance of these models has been affected much by the increase of clutter in the scene as well as occlusion. Another mechanism of information processing in the cortex is called the feedback mechanism, where the information from the top areas in the visual system is communicated to the lower areas in a feedback manner; this mechanism has also been mapped into computational models. All these models which are based on the feed-forward or feedback mechanisms have shown promising results. However, during the testing of these models, there have been some issues that affect their performance such as occlusion that prevents objects from being visible. In addition, scenes that contain high amounts of clutter in them, where there are so many objects, have also affected the performance of these models. In fact, the performance has been reported to drop to 74% when systems that are based on these models are subjected to one or both of the issues mentioned above. The human visual system, naturally, utilizes both feed-forward and feedback mechanisms in the operation of perceiving the surrounding environment. Both feed-forward and feedback mechanisms are integrated in a way that makes the visual system of the human outperforms any state-of-the-art system. In this research, a proposed model of object recognition based on the integration concept of the feed-forward and feedback mechanisms in the human visual system is presented. 2010 Thesis NonPeerReviewed application/pdf http://eprints.utp.edu.my/2738/1/HamadaCOPY1Latest-19-08.pdf Hamada , R. H. Al-Absi and Azween, Abdullah (2010) A BIOLOGICALLY INSPIRED OBJECT RECOGNITION SYSTEM. Masters thesis, UNIVERSITI TEKNOLOGI PETRONAS. http://eprints.utp.edu.my/2738/
institution	Universiti Teknologi Petronas
building	UTP Resource Centre
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Petronas
content_source	UTP Institutional Repository
url_provider	http://eprints.utp.edu.my/
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Hamada , R. H. Al-Absi Azween, Abdullah A BIOLOGICALLY INSPIRED OBJECT RECOGNITION SYSTEM
description	Object Recognition has been a field of interest to many researchers. In fact, it has been referred to as the most important problem in machine or computer vision. Researchers have developed many algorithms to solve the problem of object recognition that are machine vision motivated. On the other hand, biology has motivated researchers to study the visual system of humans and animals such as monkeys and map it into a computational model. Some of these models are based on the feed-forward mechanism of information communication in cortex where the information is communicated between the different visual areas from the lower areas to the top areas in a feed-forward manner; however, the performance of these models has been affected much by the increase of clutter in the scene as well as occlusion. Another mechanism of information processing in the cortex is called the feedback mechanism, where the information from the top areas in the visual system is communicated to the lower areas in a feedback manner; this mechanism has also been mapped into computational models. All these models which are based on the feed-forward or feedback mechanisms have shown promising results. However, during the testing of these models, there have been some issues that affect their performance such as occlusion that prevents objects from being visible. In addition, scenes that contain high amounts of clutter in them, where there are so many objects, have also affected the performance of these models. In fact, the performance has been reported to drop to 74% when systems that are based on these models are subjected to one or both of the issues mentioned above. The human visual system, naturally, utilizes both feed-forward and feedback mechanisms in the operation of perceiving the surrounding environment. Both feed-forward and feedback mechanisms are integrated in a way that makes the visual system of the human outperforms any state-of-the-art system. In this research, a proposed model of object recognition based on the integration concept of the feed-forward and feedback mechanisms in the human visual system is presented.
format	Thesis
author	Hamada , R. H. Al-Absi Azween, Abdullah
author_facet	Hamada , R. H. Al-Absi Azween, Abdullah
author_sort	Hamada , R. H. Al-Absi
title	A BIOLOGICALLY INSPIRED OBJECT RECOGNITION SYSTEM
title_short	A BIOLOGICALLY INSPIRED OBJECT RECOGNITION SYSTEM
title_full	A BIOLOGICALLY INSPIRED OBJECT RECOGNITION SYSTEM
title_fullStr	A BIOLOGICALLY INSPIRED OBJECT RECOGNITION SYSTEM
title_full_unstemmed	A BIOLOGICALLY INSPIRED OBJECT RECOGNITION SYSTEM
title_sort	biologically inspired object recognition system
publishDate	2010
url	http://eprints.utp.edu.my/2738/1/HamadaCOPY1Latest-19-08.pdf http://eprints.utp.edu.my/2738/
_version_	1738655216847290368
score	13.211869

A BIOLOGICALLY INSPIRED OBJECT RECOGNITION SYSTEM

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