Efficient background subtraction for thermal images using reflectional symmetry pattern (RSP)

Efficient background subtraction for thermal images using reflectional symmetry pattern (RSP) Multimed Tools Appl (2018) 77:22567–22586 https://doi.org/10.1007/s11042-018-6220-1 Efficient background subtraction for thermal images using reflectional symmetry pattern (RSP) 1 2 D. Jeyabharathi & Dejey Received: 22 September 2017 /Revised: 15 May 2018 /Accepted: 28 May 2018 / Published online: 5 June 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Nowadays, thermal image processing has gained more attention. Thermal camera’s cost is decreasing, and so many real-time applications use thermal cameras since they have an ability to detect objects in darkness and track objects in the video. A background subtraction approach using Reflectional Symmetry Pattern (RSP) for thermal image background subtrac- tion is proposed based on the assumption that the geometric reflectional symmetrical pattern of each of the objects (person) is much lower than the surrounding background. Reflectional symmetrical texture pattern can be used to create a subspace from the result of frame differencing approach. Statistical parameters such as VP (Vector Product), VD (Vector Direc- tion) can be used to create an accurate background model. As a result, the proposed scheme can provide a high precision and less error rate to meet the requirements of object detection from real-time thermal videos. . . Keywords Vector product Vector direction http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multimedia Tools and Applications Springer Journals

Efficient background subtraction for thermal images using reflectional symmetry pattern (RSP)

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Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Computer Science; Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems
ISSN
1380-7501
eISSN
1573-7721
D.O.I.
10.1007/s11042-018-6220-1
Publisher site
See Article on Publisher Site

Abstract

Multimed Tools Appl (2018) 77:22567–22586 https://doi.org/10.1007/s11042-018-6220-1 Efficient background subtraction for thermal images using reflectional symmetry pattern (RSP) 1 2 D. Jeyabharathi & Dejey Received: 22 September 2017 /Revised: 15 May 2018 /Accepted: 28 May 2018 / Published online: 5 June 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Nowadays, thermal image processing has gained more attention. Thermal camera’s cost is decreasing, and so many real-time applications use thermal cameras since they have an ability to detect objects in darkness and track objects in the video. A background subtraction approach using Reflectional Symmetry Pattern (RSP) for thermal image background subtrac- tion is proposed based on the assumption that the geometric reflectional symmetrical pattern of each of the objects (person) is much lower than the surrounding background. Reflectional symmetrical texture pattern can be used to create a subspace from the result of frame differencing approach. Statistical parameters such as VP (Vector Product), VD (Vector Direc- tion) can be used to create an accurate background model. As a result, the proposed scheme can provide a high precision and less error rate to meet the requirements of object detection from real-time thermal videos. . . Keywords Vector product Vector direction

Journal

Multimedia Tools and ApplicationsSpringer Journals

Published: Jun 5, 2018

References

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