Image Enhancement using Thermal-visible Fusion for Human Detection

An increased interest in detecting human beings in video surveillance system has emerged in recent years. Multisensory image fusion deserves more research attention due to the capability to improve the visual interpretability of an image. This study proposed fusion techniques for human detection ba...

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Main Authors: Ezrinda, Mohd Zaihidee, Kamarul Hawari, Ghazali, Mohd Zuki, Salleh
Format: Conference or Workshop Item
Language:English
Published: IOP Publishing Ltd 2017
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/19856/1/Zaihidee_2017_J._Phys.%253A_Conf._Ser._890_012038.pdf
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author Ezrinda, Mohd Zaihidee
Kamarul Hawari, Ghazali
Mohd Zuki, Salleh
author_facet Ezrinda, Mohd Zaihidee
Kamarul Hawari, Ghazali
Mohd Zuki, Salleh
author_sort Ezrinda, Mohd Zaihidee
collection UMP
description An increased interest in detecting human beings in video surveillance system has emerged in recent years. Multisensory image fusion deserves more research attention due to the capability to improve the visual interpretability of an image. This study proposed fusion techniques for human detection based on multiscale transform using grayscale visual light and infrared images. The samples for this study were taken from online dataset. Both images captured by the two sensors were decomposed into high and low frequency coefficients using Stationary Wavelet Transform (SWT). Hence, the appropriate fusion rule was used to merge the coefficients and finally, the final fused image was obtained by using inverse SWT. From the qualitative and quantitative results, the proposed method is more superior than the two other methods in terms of enhancement of the target region and preservation of details information of the image.
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spelling UMPir198562018-06-29T01:11:16Z http://umpir.ump.edu.my/id/eprint/19856/ Image Enhancement using Thermal-visible Fusion for Human Detection Ezrinda, Mohd Zaihidee Kamarul Hawari, Ghazali Mohd Zuki, Salleh QA75 Electronic computers. Computer science An increased interest in detecting human beings in video surveillance system has emerged in recent years. Multisensory image fusion deserves more research attention due to the capability to improve the visual interpretability of an image. This study proposed fusion techniques for human detection based on multiscale transform using grayscale visual light and infrared images. The samples for this study were taken from online dataset. Both images captured by the two sensors were decomposed into high and low frequency coefficients using Stationary Wavelet Transform (SWT). Hence, the appropriate fusion rule was used to merge the coefficients and finally, the final fused image was obtained by using inverse SWT. From the qualitative and quantitative results, the proposed method is more superior than the two other methods in terms of enhancement of the target region and preservation of details information of the image. IOP Publishing Ltd 2017-09-21 Conference or Workshop Item PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/19856/1/Zaihidee_2017_J._Phys.%253A_Conf._Ser._890_012038.pdf Ezrinda, Mohd Zaihidee and Kamarul Hawari, Ghazali and Mohd Zuki, Salleh (2017) Image Enhancement using Thermal-visible Fusion for Human Detection. In: Journal of Physics: Conference Series, 1st International Conference on Applied & Industrial Mathematics and Statistics 2017 (ICoAIMS 2017) , 8-10 August 2017 , Kuantan, Pahang, Malaysia. pp. 1-6., 890 (012038). ISBN 1742-6596 (Published) https://doi.org/10.1088/1742-6596/890/1/012038 https://doi.org/10.1088/1742-6596/890/1/012038
spellingShingle QA75 Electronic computers. Computer science
Ezrinda, Mohd Zaihidee
Kamarul Hawari, Ghazali
Mohd Zuki, Salleh
Image Enhancement using Thermal-visible Fusion for Human Detection
title Image Enhancement using Thermal-visible Fusion for Human Detection
title_full Image Enhancement using Thermal-visible Fusion for Human Detection
title_fullStr Image Enhancement using Thermal-visible Fusion for Human Detection
title_full_unstemmed Image Enhancement using Thermal-visible Fusion for Human Detection
title_short Image Enhancement using Thermal-visible Fusion for Human Detection
title_sort image enhancement using thermal visible fusion for human detection
topic QA75 Electronic computers. Computer science
url http://umpir.ump.edu.my/id/eprint/19856/1/Zaihidee_2017_J._Phys.%253A_Conf._Ser._890_012038.pdf
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