Comparison of Human Segmentation using Thermal and Color Image in Outdoor Environment

Nowadays video surveillance system are very important in an urban and rural area that can operate day and night, in all weather conditions. It is a challenging task to detect human due to body size, occlusion, lighting conditions, cluttered background, cloth texture and similarity of the human body...

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Main Authors:	Ezrinda, Mohd Zaihidee, Kamarul Hawari, Ghazali, Almisreb, Ali Abd
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2016
Subjects:	QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/19857/ http://umpir.ump.edu.my/id/eprint/19857/ http://umpir.ump.edu.my/id/eprint/19857/ http://umpir.ump.edu.my/id/eprint/19857/1/Comparison%20of%20Human%20Segmentation%20using%20Thermal-1.pdf

id	ump-19857
recordtype	eprints
spelling	ump-198572018-06-05T01:40:23Z http://umpir.ump.edu.my/id/eprint/19857/ Comparison of Human Segmentation using Thermal and Color Image in Outdoor Environment Ezrinda, Mohd Zaihidee Kamarul Hawari, Ghazali Almisreb, Ali Abd QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General) Nowadays video surveillance system are very important in an urban and rural area that can operate day and night, in all weather conditions. It is a challenging task to detect human due to body size, occlusion, lighting conditions, cluttered background, cloth texture and similarity of the human body/clothing with the background. Hence, in this paper, thermal and color images are utilized to evaluate the performance of the proposed method for single human segmentation in outdoor environment. The evaluation of the segmentation process is carried out based on OTCBVS Benchmark Dataset. The approach use morphological operation, global thresholding and edge detection as the main step in segmentation process. For quantitative analysis, 100 images for color and thermal respectively are analyze using Jaccard Similarity Coefficient where we compare the resulting image with its ground truth. From the results, human segmentation using thermal images are better compared to color image where 88% show a good segmentation result and only 4% cannot get a human figure correctly. IEEE 2016-05-19 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19857/1/Comparison%20of%20Human%20Segmentation%20using%20Thermal-1.pdf Ezrinda, Mohd Zaihidee and Kamarul Hawari, Ghazali and Almisreb, Ali Abd (2016) Comparison of Human Segmentation using Thermal and Color Image in Outdoor Environment. In: IEEE Conference on Systems, Process and Control (ICSPC 2015), 18-20 December 2015 , Bandar Sunway, Malaysia . pp. 152-156.. https://doi.org/10.1109/SPC.2015.7473576 10.1109/SPC.2015.7473576
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General)
spellingShingle	QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General) Ezrinda, Mohd Zaihidee Kamarul Hawari, Ghazali Almisreb, Ali Abd Comparison of Human Segmentation using Thermal and Color Image in Outdoor Environment
description	Nowadays video surveillance system are very important in an urban and rural area that can operate day and night, in all weather conditions. It is a challenging task to detect human due to body size, occlusion, lighting conditions, cluttered background, cloth texture and similarity of the human body/clothing with the background. Hence, in this paper, thermal and color images are utilized to evaluate the performance of the proposed method for single human segmentation in outdoor environment. The evaluation of the segmentation process is carried out based on OTCBVS Benchmark Dataset. The approach use morphological operation, global thresholding and edge detection as the main step in segmentation process. For quantitative analysis, 100 images for color and thermal respectively are analyze using Jaccard Similarity Coefficient where we compare the resulting image with its ground truth. From the results, human segmentation using thermal images are better compared to color image where 88% show a good segmentation result and only 4% cannot get a human figure correctly.
format	Conference or Workshop Item
author	Ezrinda, Mohd Zaihidee Kamarul Hawari, Ghazali Almisreb, Ali Abd
author_facet	Ezrinda, Mohd Zaihidee Kamarul Hawari, Ghazali Almisreb, Ali Abd
author_sort	Ezrinda, Mohd Zaihidee
title	Comparison of Human Segmentation using Thermal and Color Image in Outdoor Environment
title_short	Comparison of Human Segmentation using Thermal and Color Image in Outdoor Environment
title_full	Comparison of Human Segmentation using Thermal and Color Image in Outdoor Environment
title_fullStr	Comparison of Human Segmentation using Thermal and Color Image in Outdoor Environment
title_full_unstemmed	Comparison of Human Segmentation using Thermal and Color Image in Outdoor Environment
title_sort	comparison of human segmentation using thermal and color image in outdoor environment
publisher	IEEE
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/19857/ http://umpir.ump.edu.my/id/eprint/19857/ http://umpir.ump.edu.my/id/eprint/19857/ http://umpir.ump.edu.my/id/eprint/19857/1/Comparison%20of%20Human%20Segmentation%20using%20Thermal-1.pdf
first_indexed	2023-09-18T22:28:28Z
last_indexed	2023-09-18T22:28:28Z
_version_	1777416125243457536

Comparison of Human Segmentation using Thermal and Color Image in Outdoor Environment

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