Detection of head position using chain code algorithm

Nowadays, autonomous vision-based system has been applied to handle human job that reliability and efficiency of any intelligent system gain improvement and enhancement. Human head detection is the first step of an autonomous human recognition system. This thesis focuses on a method to recognize and...

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Main Author:	Fuad, Norfaiza
Format:	Thesis
Published:	2007
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.uthm.edu.my/705/ http://eprints.uthm.edu.my/705/1/24_Pages_from_DETECTION_OF_HEAD_POSITION_USING_CHAIN_CODE_ALGORITHM.pdf

id	uthm-705
recordtype	eprints
spelling	uthm-7052011-04-29T06:41:34Z Detection of head position using chain code algorithm Fuad, Norfaiza TA Engineering (General). Civil engineering (General) Nowadays, autonomous vision-based system has been applied to handle human job that reliability and efficiency of any intelligent system gain improvement and enhancement. Human head detection is the first step of an autonomous human recognition system. This thesis focuses on a method to recognize and detect a human at the surveillance or highlighted area boundary based their head beside; a simulation system of head detection was developed using image processing. The main contribution of this thesis is it contributes an algorithm of head recognition and detecting which based on image segmentation, Prewitt edge detection and Chain Code algorithm. Static or still images are used as input data for simulation process. The use of Median Filter (MF) method for preprocessing stage is studied and implemented to make low noise for good signification in an image. Prewitt edge detecting (PED) has been applied to present boundary of features in the images in early stage. The image converted to binary image using Threshold Coding (TC) for difference between boundary and background. Features from the image are train using the Chain Code Algorithm (CCA) to do recognition of the crux human head then do detecting process. The low of complexity in mathematical equation is the factor of chosen this method, compares other techniques. Two environments have been applied to demonstrate the performance of the system, a person or more was detected for texture background and untextured background. The anahsis. design and development of simulation system are done in Visual C++. All the methods have been tested on image data and the experimental results have demonstrated a robust system. 2007-03-10 Thesis NonPeerReviewed application/pdf http://eprints.uthm.edu.my/705/1/24_Pages_from_DETECTION_OF_HEAD_POSITION_USING_CHAIN_CODE_ALGORITHM.pdf Fuad, Norfaiza (2007) Detection of head position using chain code algorithm. Masters thesis, Universiti Putra Malaysia. http://eprints.uthm.edu.my/705/
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Tun Hussein Onn Malaysia
building	UTHM Institutional Repository
collection	Online Access
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Fuad, Norfaiza Detection of head position using chain code algorithm
description	Nowadays, autonomous vision-based system has been applied to handle human job that reliability and efficiency of any intelligent system gain improvement and enhancement. Human head detection is the first step of an autonomous human recognition system. This thesis focuses on a method to recognize and detect a human at the surveillance or highlighted area boundary based their head beside; a simulation system of head detection was developed using image processing. The main contribution of this thesis is it contributes an algorithm of head recognition and detecting which based on image segmentation, Prewitt edge detection and Chain Code algorithm. Static or still images are used as input data for simulation process. The use of Median Filter (MF) method for preprocessing stage is studied and implemented to make low noise for good signification in an image. Prewitt edge detecting (PED) has been applied to present boundary of features in the images in early stage. The image converted to binary image using Threshold Coding (TC) for difference between boundary and background. Features from the image are train using the Chain Code Algorithm (CCA) to do recognition of the crux human head then do detecting process. The low of complexity in mathematical equation is the factor of chosen this method, compares other techniques. Two environments have been applied to demonstrate the performance of the system, a person or more was detected for texture background and untextured background. The anahsis. design and development of simulation system are done in Visual C++. All the methods have been tested on image data and the experimental results have demonstrated a robust system.
format	Thesis
author	Fuad, Norfaiza
author_facet	Fuad, Norfaiza
author_sort	Fuad, Norfaiza
title	Detection of head position using chain code algorithm
title_short	Detection of head position using chain code algorithm
title_full	Detection of head position using chain code algorithm
title_fullStr	Detection of head position using chain code algorithm
title_full_unstemmed	Detection of head position using chain code algorithm
title_sort	detection of head position using chain code algorithm
publishDate	2007
url	http://eprints.uthm.edu.my/705/ http://eprints.uthm.edu.my/705/1/24_Pages_from_DETECTION_OF_HEAD_POSITION_USING_CHAIN_CODE_ALGORITHM.pdf
first_indexed	2018-09-05T10:44:08Z
last_indexed	2018-09-05T10:44:08Z
_version_	1610763991444881408

Detection of head position using chain code algorithm

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