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Statistical Background Modeling Based on Velocity and Orientation of Moving Objects

Gholamreza Ardeshir, Sara Sharifzadeh Orcid Logo, H. MiarNaimi

International Journal of Engineering, Volume: 21, Issue: 1, Pages: 39 - 54

Swansea University Author: Sara Sharifzadeh Orcid Logo

Abstract

Background modeling is an important step in moving object detection and tracking. In this paper, we propose a new statistical approach in which, a sequence of frames are selected according to velocity and direction of some moving objects and then an initial background is modeled, based on the detect...

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Published in: International Journal of Engineering
Published: 2008
Online Access: https://www.ije.ir/article_71686.html
URI: https://cronfa.swan.ac.uk/Record/cronfa65620
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first_indexed 2024-04-07T13:07:14Z
last_indexed 2024-04-07T13:07:14Z
id cronfa65620
recordtype SURis
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spelling v2 65620 2024-02-09 Statistical Background Modeling Based on Velocity and Orientation of Moving Objects a4e15f304398ecee3f28c7faec69c1b0 0000-0003-4621-2917 Sara Sharifzadeh Sara Sharifzadeh true false 2024-02-09 SCS Background modeling is an important step in moving object detection and tracking. In this paper, we propose a new statistical approach in which, a sequence of frames are selected according to velocity and direction of some moving objects and then an initial background is modeled, based on the detection of gray pixel's value changes. To have used this sequence of frames, no estimator or distribution is required. In this work, smoothly changing pixels are modeled by averaging and other statistical calculations are done for more varying pixels. The proposed algorithm works well, even if the moving objects are present in all frames. We have evaluated this novel method successfully on highly textured scenes, with challenging phenomena such as dynamic background, area of high foreground traffic and moving objects with different speeds and sizes. Journal Article International Journal of Engineering 21 1 39 54 1 4 2008 2008-04-01 https://www.ije.ir/article_71686.html https://www.ije.ir/article_71686.html COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2024-04-07T14:07:17.1864195 2024-02-09T01:19:53.0029870 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Gholamreza Ardeshir 1 Sara Sharifzadeh 0000-0003-4621-2917 2 H. MiarNaimi 3
title Statistical Background Modeling Based on Velocity and Orientation of Moving Objects
spellingShingle Statistical Background Modeling Based on Velocity and Orientation of Moving Objects
Sara Sharifzadeh
title_short Statistical Background Modeling Based on Velocity and Orientation of Moving Objects
title_full Statistical Background Modeling Based on Velocity and Orientation of Moving Objects
title_fullStr Statistical Background Modeling Based on Velocity and Orientation of Moving Objects
title_full_unstemmed Statistical Background Modeling Based on Velocity and Orientation of Moving Objects
title_sort Statistical Background Modeling Based on Velocity and Orientation of Moving Objects
author_id_str_mv a4e15f304398ecee3f28c7faec69c1b0
author_id_fullname_str_mv a4e15f304398ecee3f28c7faec69c1b0_***_Sara Sharifzadeh
author Sara Sharifzadeh
author2 Gholamreza Ardeshir
Sara Sharifzadeh
H. MiarNaimi
format Journal article
container_title International Journal of Engineering
container_volume 21
container_issue 1
container_start_page 39
publishDate 2008
institution Swansea University
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
url https://www.ije.ir/article_71686.html
document_store_str 0
active_str 0
description Background modeling is an important step in moving object detection and tracking. In this paper, we propose a new statistical approach in which, a sequence of frames are selected according to velocity and direction of some moving objects and then an initial background is modeled, based on the detection of gray pixel's value changes. To have used this sequence of frames, no estimator or distribution is required. In this work, smoothly changing pixels are modeled by averaging and other statistical calculations are done for more varying pixels. The proposed algorithm works well, even if the moving objects are present in all frames. We have evaluated this novel method successfully on highly textured scenes, with challenging phenomena such as dynamic background, area of high foreground traffic and moving objects with different speeds and sizes.
published_date 2008-04-01T14:07:14Z
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score 11.037144

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