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

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Abstract

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.

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References

  • Andriluka M, Roth S, Schiele B (2008) People-tracking-by-detection and people-detection-by-tracking. Paper presented at the computer vision and pattern recognition, 2008. CVPR 2008. IEEE conference on 23–28 June 2008

  • Arulampalam MS, Maskell S, Gordon N, Clapp T (2002) A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans Signal Process 50(2):174–188. doi:10.1109/78.978374

    Article  Google Scholar 

  • Baudisch P, Good N, Stewart P (2001) Focus plus context screens: combining display technology with visualization techniques. Paper presented at the proceedings of the 14th annual ACM symposium on User interface software and technology, Orlando, Florida

  • Baudisch P, Good N, Bellotti V, Schraedley P (2002) Keeping things in context: a comparative evaluation of focus plus context screens, overviews, and zooming. Paper presented at the proceedings of the SIGCHI conference on human factors in computing systems: changing our world, changing ourselves, Minneapolis, Minnesota, USA

  • Belhumeur PN, Hespanha JP, Kriegman DJ (1997) Eigenfaces vs. Fisherfaces: recognition using class specific linear projection. IEEE Trans Pattern Anal Mach Intell 19(7):711–720. doi:10.1109/34.598228

    Article  Google Scholar 

  • Cha Z, Zicheng L, Zhengyou Z, Qi Z (2008) Semantic saliency driven camera control for personal remote collaboration. Paper presented at the multimedia signal processing, 2008 IEEE 10th workshop on, 8–10 Oct 2008

  • Chen CW (2012a) Default risk-based probabilistic decision model for risk management and control. Nat Hazards 63(2):659–671

    Google Scholar 

  • Chen CW (2012b) A new viewpoint of hazard assessment and management for Taiwan’s insurance issues. Nat Hazards. doi: 10.1007/s11069-012-0363-6

  • Chen KW, Lin CW, Chen YM, Hung YP (2010) e-Fovea: a multi-resolution approach with steerable focus to large-scale and high-resolution monitoring. Paper presented at the proceedings of the international conference on multimedia, Firenze, Italy

  • Chen CY, Shih BY, Yu SH (2012) Disaster prevention and reduction for exploring teachers’ technology acceptance using a virtual reality system and partial least squares techniques. Nat Hazards 62(3):1217–1231. doi:10.1007/s11069-012-0146-0

    Article  Google Scholar 

  • Chen CW, Tseng CP, Hsu WK, Chiang WL (2012a) A novel strategy to determine the insurance and risk control plan for natural disaster risk management. Nat Hazards. doi:10.1007/s11069-012-0305-3

  • Chen CW, Liu FR, Tseng CP, Hsu WK, Chiang WL (2012b) Hazard management and risk design by optimal statistical analysis. Nat Hazards. doi:10.1007/s11069-012-0329-8

  • Cho SH, Kang HB (2011) Panoramic background generation using mean-shift in moving camera environment. Paper presented at the proceedings of the international conference on image processing, computer vision, and pattern recognition, 2011. IPCV 2011

  • Ess A, Leibe B, Schindler K, Van Gool L (2008) A mobile vision system for robust multi-person tracking. Paper presented at the computer vision and pattern recognition, 2008. CVPR 2008. IEEE conference on 23–28 June 2008

  • Hsiao FH, Hwang, JD, Chen CW, Tsai ZR (2005a) Robust stabilization of nonlinear multiple time-delay large-scale systems via decentralized fuzzy control. IEEE Trans Fuzzy Syst 13:152–163

    Google Scholar 

  • Hsiao FH, Chen CW, Liang YW, Xu SD, Chiang WL (2005b) T-S fuzzy controllers for nonlinear interconnected systems with multiple time delays. IEEE Trans Regular Papers, Circuits Syst 52:1883–1893

  • Hsu WK, Huang PC, Chang CC, Chen CW, Hung DM, Chiang WL (2011) An integrated flood risk assessment model for property insurance industry in Taiwan. Nat Hazards 58(3):1295–1309. doi:10.1007/s11069-011-9732-9

    Article  Google Scholar 

  • Kang X, Ogunmakin G, Yue L, Vela PA, Yongtian W (2011) PTZ camera-based adaptive panoramic and multi-layered background model. Paper presented at the image processing (ICIP), 2011. 18th IEEE international conference on, 11–14 Sep 2011

  • Kim K, Chalidabhongse TH, Harwood D, Davis L (2005) Real-time foreground–background segmentation using codebook model. Real-Time Imaging 11(3):172–185. doi:10.1016/j.rti.2004.12.004

    Article  Google Scholar 

  • Lalonde M, Foucher S, Gagnon L, Pronovost E, Derenne M, Janelle A (2007) A system to automatically track humans and vehicles with a PTZ camera. Proceedings of SPIE 6575, Visual Information Processing XVI, 657502. doi:10.1117/12.718446

  • Lin JW (2012a) Modeling and assessment of bridge structure for seismic hazard prevention. Nat Hazards 61:1115–1126

    Google Scholar 

  • Lin JW (2012b) Kalman filter decision systems for debris flow hazard assessment. Nat Hazards 60(3):1255–1266

    Google Scholar 

  • Lin JW (2012c) Fuzzy statistical refinement for the forecasting of tenders for roadway construction. J Marine Sci Tech 20(4):410–417

    Google Scholar 

  • Lin JW (2012d) Potential hazard analysis and risk assessment of debris flow by fuzzy modeling. Nat Hazards 64(1):273–282

    Google Scholar 

  • Lin ML, Chen CW (2011) Using GIS-based spatial geocomputation from remotely sensed data for drought risk-sensitive assessment. Int J Innov Comput Inform Control 7(2):657–668

    Google Scholar 

  • Marchesotti L, Marcenaro L, Regazzoni C (2003) Dual camera system for face detection in unconstrained environments. Paper presented at the image processing, 2003. ICIP 2003. In: Proceedings 2003 international conference on, 14–17 Sep 2003

  • Plaisant C, Carr D, Shneiderman B (1995) Image-browser taxonomy and guidelines for designers. IEEE Softw 12(2):21–32. doi:10.1109/52.368260

    Article  Google Scholar 

  • Shih BY, Chen CY, Chen CW, Hsin I (2012) Using Lego NXT to explore scientific literacy in disaster prevention and rescue systems. Nat Hazards 64(1):153–171. doi:10.1007/s11069-012-0233-2

    Article  Google Scholar 

  • Stauffer C, Grimson WEL (2000) Learning patterns of activity using real-time tracking. IEEE Trans Pattern Anal Mach Intell 22(8):747–757. doi:10.1109/34.868677

    Article  Google Scholar 

  • Tsai CH, Chen CW (2010) An earthquake disaster management mechanism based on risk assessment information for the tourism industry-a case study from the island of Taiwan. Tour Manag 31(4):470–481. doi:10.1016/j.tourman.2009.05.008

    Article  Google Scholar 

  • Tsai CH, Chen CW (2011) The establishment of a rapid natural disaster risk assessment model for the tourism industry. Tour Manag 32(1):158–171. doi:10.1016/j.tourman.2010.05.015

    Article  Google Scholar 

  • Tseng CP, Chen CW (2012) Natural disaster management mechanisms for probabilistic earthquake loss. Nat Hazards 60(3):1055–1063. doi:10.1007/s11069-011-9889-2

    Article  Google Scholar 

  • Tseng CP, Chen CW, Liu KF (2011a) Risk control allocation model for pressure vessels and piping project. J Vib Control. doi:10.1177/1077546311403182

    Google Scholar 

  • Tseng CP, Chen CW, Tu YP (2011b) A new viewpoint on risk control decision models for natural disasters. Nat Hazards 59(3):1715–1733. doi:10.1007/s11069-011-9861-1

    Article  Google Scholar 

  • Turk M, Pentland A (1991) Eigenfaces for recognition. J Cogn Neurosci 3(1):71–86. doi:10.1162/jocn.1991.3.1.71

    Article  Google Scholar 

  • Viola P, Jones M (2001) Robust real-time object detection. Int J Comput Vision 57(2):137–154

    Article  Google Scholar 

  • Yang HC, Chen CW (2012) Potential hazard analysis from the viewpoint of flow measurement in large open-channel junctions. Nat Hazards 61(2):803–813. doi:10.1007/s11069-011-0067-3

    Article  Google Scholar 

  • Zhao W, Chellappa R, Phillips PJ, Rosenfeld A (2003) Face recognition: a literature survey. ACM Comput Surv 35(4):399–458. doi:10.1145/954339.954342

    Article  Google Scholar 

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Acknowledgments

The authors would like to thank the National Science Council of the Republic of China, Taiwan, for their financial support of this research under Contract Nos. 100-2221-E-022-013-MY2 and 100-2628-E-022-002-MY2.

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Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan, ROC

    Chi-Wei Lin & Yi-Ping Hung

  2. Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei, Taiwan, ROC

    Yi-Ping Hung

  3. Institute of Maritime Information and Technology, National Kaohsiung Marine University, Kaohsiung, Taiwan, ROC

    Cheng-Wu Chen

  4. Research Center for Hazard Mitigation and Prevention, National Central University, Jhung-li, Taoyuan, Taiwan, ROC

    Wen-Ko Hsu

  5. Department of Civil Engineering, National Central University, Jhung-li, Taoyuan, Taiwan, ROC

    Chi-Wei Lin & Wei-Ling Chiang

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  1. Chi-Wei Lin
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  2. Yi-Ping Hung
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  3. Wen-Ko Hsu
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  4. Wei-Ling Chiang
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  5. Cheng-Wu Chen
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Correspondence to Cheng-Wu Chen.

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Lin, CW., Hung, YP., Hsu, WK. et al. The construction of a high-resolution visual monitoring for hazard analysis. Nat Hazards 65, 1285–1292 (2013). https://doi.org/10.1007/s11069-012-0409-9

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