The construction of a high-resolution visual monitoring for hazard analysis

被引:33
作者
Lin, Chi-Wei [2 ,3 ]
Hung, Yi-Ping [2 ,4 ]
Hsu, Wen-Ko [5 ]
Chiang, Wei-Ling [3 ]
Chen, Cheng-Wu [1 ]
机构
[1] Natl Kaohsiung Marine Univ, Inst Maritime Informat & Technol, Kaohsiung, Taiwan
[2] Natl Taiwan Univ, Dept Comp Sci & Informat Engn, Taipei 10764, Taiwan
[3] Natl Cent Univ, Dept Civil Engn, Tao Yuan, Taiwan
[4] Natl Taiwan Univ, Grad Inst Networking & Multimedia, Taipei 10764, Taiwan
[5] Natl Cent Univ, Res Ctr Hazard Mitigat & Prevent, Tao Yuan, Taiwan
关键词
Hazard assessment; Environmental monitoring; Visual monitoring; RISK-ASSESSMENT; DEBRIS FLOW; SYSTEMS; RECOGNITION; EIGENFACES; TRACKING; INDUSTRY; TAIWAN; MODEL;
D O I
10.1007/s11069-012-0409-9
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
High rates of urbanization, environmental degradation, and industrial development in disaster-prone areas have all served to increase the extent of damage following catastrophes. In this paper, we present a novel framework for exploiting multi-resolution dual cameras, including a wide-angle camera and a speed dome camera, to construct a wide-angle, multi-layered, high-resolution visual monitoring system for hazard assessment. Our two-part camera system requires calibration of the correspondence between the detailed and overview image captured by the speed dome camera and wide-angle fixed camera, respectively. In-factory calibration is carried out using white-black patterns for speed dome turning and multi-layered calibration. The results are displayed as wide-angle, multi-layered, high-resolution images which are built up by the speed dome camera.
引用
收藏
页码:1285 / 1292
页数:8
相关论文
共 38 条
[1]  
Andriluka M, 2008, COMP VIS PATT REC 20
[2]  
[Anonymous], COMP VIS PATT REC 20
[3]   A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking [J].
Arulampalam, MS ;
Maskell, S ;
Gordon, N ;
Clapp, T .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2002, 50 (02) :174-188
[4]  
Baudisch P., 2001, P 14 ANN ACM S US IN
[5]  
Baudisch P, 2002, P SIGCHI C HUM FACT
[6]   Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection [J].
Belhumeur, PN ;
Hespanha, JP ;
Kriegman, DJ .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1997, 19 (07) :711-720
[7]  
Cha Z, 2008, MULT SIGN PROC 2008, P8
[8]   Disaster prevention and reduction for exploring teachers' technology acceptance using a virtual reality system and partial least squares techniques [J].
Chen, Chen-Yuan ;
Shih, Bih-Yaw ;
Yu, Shih-Hsien .
NATURAL HAZARDS, 2012, 62 (03) :1217-1231
[9]   A new viewpoint of hazard assessment and management for Taiwan's insurance issues [J].
Chen, Cheng-Wu ;
Liu, Kevin Fong-Rey ;
Lin, Meng-Lung ;
Tseng, Chun-Pin .
NATURAL HAZARDS, 2013, 65 (01) :303-314
[10]   Hazard management and risk design by optimal statistical analysis [J].
Chen, Cheng-Wu ;
Liu, Kevin Fong-Rey ;
Tseng, Chun-Pin ;
Hsu, Wen-Ko ;
Chiang, Wei-Ling .
NATURAL HAZARDS, 2012, 64 (02) :1707-1716