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Setting of the Operating Conditions of Stereo CCTV Cameras by Weather Condition
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 Title & Authors
Setting of the Operating Conditions of Stereo CCTV Cameras by Weather Condition
Moon, Kwang; Pyeon, Mu Wook; Lee, Soo Bong; Lee, Do Rim;
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A wide variety of image application methods, such as aerial image, terrestrial image, terrestrial laser, and stereo image point are currently under investigation to develop three-dimensional 3D geospatial information. In this study, matching points, which are needed to build a 3D model, were examined under diverse weather conditions by analyzing the stereo images recorded by closed circuit television (CCTV) cameras installed in the U-City. The tests on illuminance and precipitation conditions showed that the changes in the number of matching points were very sensitively correlated with the changes in the illuminance levels. Based on the performances of the CCTV cameras used in the test, this study was able to identify the optimal values of the shutter speed and iris. As a result, compared to an automatic control mode, improved matching points may be obtained for images filmed using the data obtained through this test in relation to different weather and illuminance conditions.
Stereo CCTV;Matching Points;SIFT;Illuminance;Camera Setting;
 Cited by
실내·외 조도에 따른 스테레오 CCTV 영상 정합점 수 변화,문광일;편무욱;김종화;김강산;

한국지형공간정보학회지, 2015. vol.23. 1, pp.129-135 crossref(new window)
Changes in the Number of Matching Points in CCTV's Stereo Images by Indoor/Outdoor Illuminance, Journal of Korean Society for Geospatial Information System, 2015, 23, 1, 129  crossref(new windwow)
Choi, J.H., Kim, J.H., and Ryu, T.H. (2010), Evaluating locational validity of anti-crime CCTV installation point in university campus : a KNU case study, Proceedings of the Korean Association of Geographic Information Studies Conference, 12-13 November, Sunchon University, Korea, pp.175-179. (in Korean with English abstract)

Choi, K.A. and Lee, I.P. (2014), Quantitative evaluation on surveillance performance of CCTV systems based on camera modeling and 3D spatial analysis, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 32, No. 2, pp. 153-162. (in Korean with English abstract) crossref(new window)

Cho, M.H., Park, Y.J., and Lee, J.W. (2013), Prevention measures of performance degradation for natural environment based on intelligent CCTV, Journal of Korean Society of Hazard Mitigation, 21 February, Hanyang University, Korea, Vol. 13, pp. 253-253. (in Korean) crossref(new window)

Eo, Y.D., Pyeon, M.W., Kim, S.W., Kim, J.R., and Han, D.Y. (2012), Coregistration of terrestrial lidar points by adaptive scale-invariant feature transformation with constrained geometry, Automation in Construction, Vol. 25, pp. 49-58. crossref(new window)

Kim, I.S. and Shin, H.S. (2011), 3D GIS system using CCTV camera, Journal of the Korea Institute of Electronic Communication Sciences, Vol. 6, No. 4, pp. 559-565. (in Korean with English abstract)

Kim, I.S., Yoo, J.D., and Kim, B.H. (2008), A monitoring way and installation of monitoring system using intelligent CCTV under the u-City environment, Journal of The Korea Institute of Electronic Communication Sciences, Vol. 3, No. 4, pp. 295-303. (in Korean with English abstract)

Kwon, T.M. (2004), Atmospheric Visibility Measurements using Video Cameras: Relative Visibility, No. CTS 04-03, Department of Electrical and Computer Engineering, University of Minnesota Duluth, USA, 44p.

Lee, S.J. and Kang, S.J. (2011), A study on the optical positioning of surveillance facilities based on study on the optimal positioning of surveillance facilities based on criminal targets: focus on the visual analysis of exhibition space in a museum and open space in an apartment, Journal of the Architectural Institute of Korea, Vol. 27, No. 12, pp. 145-152. (in Korean with English abstract)

Lowe, D.G. (2004), Distinctive image features from scaleinvariant keypoints, International Journal of Computer Vision, Vol. 60, No. 2, pp.91-110. crossref(new window)

Moon, S.J., Jeon, M.C., Eo, Y.D., Im, S.B., and Park, B.W. (2013), Campus CCTV allocation simulation for maximizing monitoring areas, Advances in Information Sciences and Service Sciences(AISS), Vol. 5, No. 7, pp. 1192-1198. crossref(new window)

Park, B.Y., Nam, K.S., and Lee, H.S. (2007), Development of the weather information detection algorithm using CCTV images, Korean Society of Transportation, Vol. 14-B, No. 6, pp. 525-530.

Shan, T., Chen, S., Sanderson, C., and Lovell, B.C. (2007), Towards robust face recognition for Intelligent-CCTV based surveillance using one gallery image, IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007, 11-12 September, London, England, pp. 470-475.

Song, J.U. (2012), Cloud computing based system for 3D GIS case study, Journal of the Korea Information Sciences, Vol. 30, No. 5, pp. 29-34. (in Korean)