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Improved human detection with occlusion handling from mobile robot

In the field of computer vision, surveillance systems are a type of security devoted to the safety of public and property. One of the task of a surveillance system is human detection. This paper presents a human detection system and development of a robust human detection technique using thermaldept...

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Main Authors:	Sheikh, Usman Ullah, Mamat, Rosbi, Hasim, Saipol Hala @ Saipol Hadi, Che Alias, Fahmi
Format:	Conference or Workshop Item
Published:	2018
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/83853/
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id	my.utm.83853
record_format	eprints
spelling	my.utm.838532019-11-17T07:32:21Z http://eprints.utm.my/id/eprint/83853/ Improved human detection with occlusion handling from mobile robot Sheikh, Usman Ullah Mamat, Rosbi Hasim, Saipol Hala @ Saipol Hadi Che Alias, Fahmi TJ Mechanical engineering and machinery In the field of computer vision, surveillance systems are a type of security devoted to the safety of public and property. One of the task of a surveillance system is human detection. This paper presents a human detection system and development of a robust human detection technique using thermaldepth information in an indoor environment from mobile robot. A novel fusion of thermal-depth information (FTDI) is introduced to improve segmentation process, robust in any lighting condition, and to expedite processing. To deal with occlusion handling a new approach is proposed called Occlusion Human Detector (OCHD) with Pre-detector. This detector is used to classify occluded persons using pixel codes that are established from candidate selection process. The quantitative results show that the proposed system performed well with an average accuracy of over 90% for all datasets, and even outperformed state-of-the-art algorithms. The novelty of the work in this paper has presented that the detection method can be enhance the classification of persons and their occlusion. The advantages of the proposed system are that it is computationally inexpensive and performs well even under severe occlusion and poor illumination. 2018 Conference or Workshop Item PeerReviewed Sheikh, Usman Ullah and Mamat, Rosbi and Hasim, Saipol Hala @ Saipol Hadi and Che Alias, Fahmi (2018) Improved human detection with occlusion handling from mobile robot. In: Proceedings of Air 2018 International Conference on Artificial Intelligence and Robotics for Industrial Applications, 28 November 2018 through 29 November 2018, Putrajaya.
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Sheikh, Usman Ullah Mamat, Rosbi Hasim, Saipol Hala @ Saipol Hadi Che Alias, Fahmi Improved human detection with occlusion handling from mobile robot
description	In the field of computer vision, surveillance systems are a type of security devoted to the safety of public and property. One of the task of a surveillance system is human detection. This paper presents a human detection system and development of a robust human detection technique using thermaldepth information in an indoor environment from mobile robot. A novel fusion of thermal-depth information (FTDI) is introduced to improve segmentation process, robust in any lighting condition, and to expedite processing. To deal with occlusion handling a new approach is proposed called Occlusion Human Detector (OCHD) with Pre-detector. This detector is used to classify occluded persons using pixel codes that are established from candidate selection process. The quantitative results show that the proposed system performed well with an average accuracy of over 90% for all datasets, and even outperformed state-of-the-art algorithms. The novelty of the work in this paper has presented that the detection method can be enhance the classification of persons and their occlusion. The advantages of the proposed system are that it is computationally inexpensive and performs well even under severe occlusion and poor illumination.
format	Conference or Workshop Item
author	Sheikh, Usman Ullah Mamat, Rosbi Hasim, Saipol Hala @ Saipol Hadi Che Alias, Fahmi
author_facet	Sheikh, Usman Ullah Mamat, Rosbi Hasim, Saipol Hala @ Saipol Hadi Che Alias, Fahmi
author_sort	Sheikh, Usman Ullah
title	Improved human detection with occlusion handling from mobile robot
title_short	Improved human detection with occlusion handling from mobile robot
title_full	Improved human detection with occlusion handling from mobile robot
title_fullStr	Improved human detection with occlusion handling from mobile robot
title_full_unstemmed	Improved human detection with occlusion handling from mobile robot
title_sort	improved human detection with occlusion handling from mobile robot
publishDate	2018
url	http://eprints.utm.my/id/eprint/83853/
_version_	1654960029946609664
score	13.211869

Improved human detection with occlusion handling from mobile robot

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