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PTZ Camera-Based Displacement Sensor System with Perspective Distortion Correction Unit for Early Detection of Building Destruction.
Jeong, Yoosoo; Park, Daejin; Park, Kil Houm.
Afiliação
  • Jeong Y; School of Electronics Engineering, Kyungpook National University, Daegu 41566, Korea. ysjung@ee.knu.ac.kr.
  • Park D; School of Electronics Engineering, Kyungpook National University, Daegu 41566, Korea. boltanut@knu.ac.kr.
  • Park KH; School of Electronics Engineering, Kyungpook National University, Daegu 41566, Korea. khpark@ee.knu.ac.kr.
Sensors (Basel) ; 17(3)2017 Feb 23.
Article em En | MEDLINE | ID: mdl-28241464
ABSTRACT
This paper presents a pan-tilt-zoom (PTZ) camera-based displacement measurement system, specially based on the perspective distortion correction technique for the early detection of building destruction. The proposed PTZ-based vision system rotates the camera to monitor the specific targets from various distances and controls the zoom level of the lens for a constant field of view (FOV). The proposed approach adopts perspective distortion correction to expand the measurable range in monitoring the displacement of the target structure. The implemented system successfully obtains the displacement information in structures, which is not easily accessible on the remote site. We manually measured the displacement acquired from markers which is attached on a sample of structures covering a wide geographic region. Our approach using a PTZ-based camera reduces the perspective distortion, so that the improved system could overcome limitations of previous works related to displacement measurement. Evaluation results show that a PTZ-based displacement sensor system with the proposed distortion correction unit is possibly a cost effective and easy-to-install solution for commercialization.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article