Two-Phase Algorithm for Optimal Camera Placement

As markers for visual sensor networks have become larger, interest in the optimal camera placement problem has continued to increase. The most featured solution for the optimal camera placement problem is based on binary integer programming (BIP). Due to the NP-hard characteristic of the optimal cam...

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Main Authors: Jun-Woo Ahn, Tai-Woo Chang, Sung-Hee Lee, Yong Won Seo
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Scientific Programming
Online Access:http://dx.doi.org/10.1155/2016/4801784
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spelling doaj-1e40a92bd77a40f5b63c46216026f4102021-07-02T05:01:44ZengHindawi LimitedScientific Programming1058-92441875-919X2016-01-01201610.1155/2016/48017844801784Two-Phase Algorithm for Optimal Camera PlacementJun-Woo Ahn0Tai-Woo Chang1Sung-Hee Lee2Yong Won Seo3College of Business & Economics, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of KoreaDepartment of Industrial & Management Engineering, Kyonggi University, 154-42 Gwanggyosan-ro, Yeongtong-gu, Suwon, Gyeonggi 16227, Republic of KoreaDepartment of Business Administration, Hoseo University, 12 Hoseodae-gil, Dongnam-gu, Cheonan-si, Chungcheongnam-do 31066, Republic of KoreaCollege of Business & Economics, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of KoreaAs markers for visual sensor networks have become larger, interest in the optimal camera placement problem has continued to increase. The most featured solution for the optimal camera placement problem is based on binary integer programming (BIP). Due to the NP-hard characteristic of the optimal camera placement problem, however, it is difficult to find a solution for a complex, real-world problem using BIP. Many approximation algorithms have been developed to solve this problem. In this paper, a two-phase algorithm is proposed as an approximation algorithm based on BIP that can solve the optimal camera placement problem for a placement space larger than in current studies. This study solves the problem in three-dimensional space for a real-world structure.http://dx.doi.org/10.1155/2016/4801784
collection DOAJ
language English
format Article
sources DOAJ
author Jun-Woo Ahn
Tai-Woo Chang
Sung-Hee Lee
Yong Won Seo
spellingShingle Jun-Woo Ahn
Tai-Woo Chang
Sung-Hee Lee
Yong Won Seo
Two-Phase Algorithm for Optimal Camera Placement
Scientific Programming
author_facet Jun-Woo Ahn
Tai-Woo Chang
Sung-Hee Lee
Yong Won Seo
author_sort Jun-Woo Ahn
title Two-Phase Algorithm for Optimal Camera Placement
title_short Two-Phase Algorithm for Optimal Camera Placement
title_full Two-Phase Algorithm for Optimal Camera Placement
title_fullStr Two-Phase Algorithm for Optimal Camera Placement
title_full_unstemmed Two-Phase Algorithm for Optimal Camera Placement
title_sort two-phase algorithm for optimal camera placement
publisher Hindawi Limited
series Scientific Programming
issn 1058-9244
1875-919X
publishDate 2016-01-01
description As markers for visual sensor networks have become larger, interest in the optimal camera placement problem has continued to increase. The most featured solution for the optimal camera placement problem is based on binary integer programming (BIP). Due to the NP-hard characteristic of the optimal camera placement problem, however, it is difficult to find a solution for a complex, real-world problem using BIP. Many approximation algorithms have been developed to solve this problem. In this paper, a two-phase algorithm is proposed as an approximation algorithm based on BIP that can solve the optimal camera placement problem for a placement space larger than in current studies. This study solves the problem in three-dimensional space for a real-world structure.
url http://dx.doi.org/10.1155/2016/4801784
work_keys_str_mv AT junwooahn twophasealgorithmforoptimalcameraplacement
AT taiwoochang twophasealgorithmforoptimalcameraplacement
AT sungheelee twophasealgorithmforoptimalcameraplacement
AT yongwonseo twophasealgorithmforoptimalcameraplacement
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