An intergration of thermal and optical flow technique for human aggressive movement detection

There is growing interest in intelligent video surveillance as for public security has become more and more important especially after the attack of 11 September. The goal in developing intelligent video surveillance is to replace the traditional passive video surveillance that is proved to be ineff...

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Main Author:	Tan Zizi @ Tuan Zizi, Tuan Khalisah
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Q Science (General) T Technology (General)
Online Access:	http://ir.upnm.edu.my/id/eprint/31/1/AN%20INTERGRATION%20OF%20THERMAL%20%28Full%29.pdf
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id	my-upnm-ir.31
record_format	uketd_dc
spelling	my-upnm-ir.312022-02-18T07:27:48Z An intergration of thermal and optical flow technique for human aggressive movement detection 2017-07-14 Tan Zizi @ Tuan Zizi, Tuan Khalisah Q Science (General) T Technology (General) There is growing interest in intelligent video surveillance as for public security has become more and more important especially after the attack of 11 September. The goal in developing intelligent video surveillance is to replace the traditional passive video surveillance that is proved to be ineffective as the number of cameras exceeds the capability of human operators to monitor them. In this real world, being able to identify the signs of imminent aggressive behaviours such as aggression or violence and also fights, is of extreme importance in keeping safe those in harm’s way. This research proposes an approach to figure out human aggressive movements using two methods which are movement based and colour based. For the movement based, Horn-Schunck optical flow algorithm is chosen in order to find the flow vector for all video frames. Optical flow is a popular method to detect the object and can calculate the motion of each pixel between two frames, and thus it provides a possible way to get a velocity of the object movement. The video frames are collected using the digital camera and thermal camera. This research guides and discovers the patterns of body distracted movement so that suspect of aggression can be detected automatically without body contact. Using this method, the aggressive and non aggressive video frames are then analysed and utilised to define the aggressiveness of humans. This research embarks on the following objectives which are to extract the suitable features that can represent aggressiveness, to develop an algorithm that can discriminate between aggressive and non - aggressive features for human movement detection and to adapt into the digital and thermal video images. The experiments conducted carried out to compare the HornSchunck algorithm under different types of images. Overall the combination of thermal images and Horn-Schunck optical flow proves to be able to accurately distinguish, detect and track the human aggressiveness. In future work, the intelligence system for human movement detection that can be applied at the Malaysia border area as a virtual guard system. 2017-07 Thesis http://ir.upnm.edu.my/id/eprint/31/ http://ir.upnm.edu.my/id/eprint/31/1/AN%20INTERGRATION%20OF%20THERMAL%20%28Full%29.pdf text en validuser mphil masters Universiti Pertahanan Nasional Malaysia Faculty of Defence Science
institution	Universiti Pertahanan Nasional Malaysia
collection	UPNM Institutional Repository
language	English
topic	Q Science (General) T Technology (General)
spellingShingle	Q Science (General) T Technology (General) Tan Zizi @ Tuan Zizi, Tuan Khalisah An intergration of thermal and optical flow technique for human aggressive movement detection
description	There is growing interest in intelligent video surveillance as for public security has become more and more important especially after the attack of 11 September. The goal in developing intelligent video surveillance is to replace the traditional passive video surveillance that is proved to be ineffective as the number of cameras exceeds the capability of human operators to monitor them. In this real world, being able to identify the signs of imminent aggressive behaviours such as aggression or violence and also fights, is of extreme importance in keeping safe those in harm’s way. This research proposes an approach to figure out human aggressive movements using two methods which are movement based and colour based. For the movement based, Horn-Schunck optical flow algorithm is chosen in order to find the flow vector for all video frames. Optical flow is a popular method to detect the object and can calculate the motion of each pixel between two frames, and thus it provides a possible way to get a velocity of the object movement. The video frames are collected using the digital camera and thermal camera. This research guides and discovers the patterns of body distracted movement so that suspect of aggression can be detected automatically without body contact. Using this method, the aggressive and non aggressive video frames are then analysed and utilised to define the aggressiveness of humans. This research embarks on the following objectives which are to extract the suitable features that can represent aggressiveness, to develop an algorithm that can discriminate between aggressive and non - aggressive features for human movement detection and to adapt into the digital and thermal video images. The experiments conducted carried out to compare the HornSchunck algorithm under different types of images. Overall the combination of thermal images and Horn-Schunck optical flow proves to be able to accurately distinguish, detect and track the human aggressiveness. In future work, the intelligence system for human movement detection that can be applied at the Malaysia border area as a virtual guard system.
format	Thesis
qualification_name	Master of Philosophy (MPhil)
qualification_level	Master's degree
author	Tan Zizi @ Tuan Zizi, Tuan Khalisah
author_facet	Tan Zizi @ Tuan Zizi, Tuan Khalisah
author_sort	Tan Zizi @ Tuan Zizi, Tuan Khalisah
title	An intergration of thermal and optical flow technique for human aggressive movement detection
title_short	An intergration of thermal and optical flow technique for human aggressive movement detection
title_full	An intergration of thermal and optical flow technique for human aggressive movement detection
title_fullStr	An intergration of thermal and optical flow technique for human aggressive movement detection
title_full_unstemmed	An intergration of thermal and optical flow technique for human aggressive movement detection
title_sort	intergration of thermal and optical flow technique for human aggressive movement detection
granting_institution	Universiti Pertahanan Nasional Malaysia
granting_department	Faculty of Defence Science
publishDate	2017
url	http://ir.upnm.edu.my/id/eprint/31/1/AN%20INTERGRATION%20OF%20THERMAL%20%28Full%29.pdf
_version_	1813223583117213696

An intergration of thermal and optical flow technique for human aggressive movement detection

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