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2016 International Conference on Big Data and Smart Computing (BigComp) (2016)
Hong Kong, China
Jan. 18, 2016 to Jan. 20, 2016
ISSN: 2375-9356
ISBN: 978-1-4673-8795-8
pp: 525-528
Hyeongsoon Im , Department of Electrical and Computer Engineering, Pusan National University, Busan, Republic of Korea
Bonghee Hong , Department of Electrical and Computer Engineering, Pusan National University, Busan, Republic of Korea
Seungwoo Jeon , Department of Electrical and Computer Engineering, Pusan National University, Busan, Republic of Korea
Jaegi Hong , Department of Electrical and Computer Engineering, Pusan National University, Busan, Republic of Korea
ABSTRACT
Although CCTV is most frequently used for traffic monitoring, there arise problems as a result of which traffic flow needs to be checked manually. In this paper, we propose a new method for automatically calculating traffic volume and vehicle speed by pattern analysis using pixel data extracted from CCTV Video image. First, vertical and horizontal lines are detected that are designated in a lane, and then pixel data are extracted from each frame of the lines. Second, when vehicles pass the lines, they are detected according to pattern change of Value (Brightness) in pixel data.
INDEX TERMS
Vehicles, Vehicle detection, Streaming media, Real-time systems, Roads, Surveillance
CITATION

Hyeongsoon Im, Bonghee Hong, Seungwoo Jeon and Jaegi Hong, "Bigdata analytics on CCTV images for collecting traffic information," 2016 International Conference on Big Data and Smart Computing (BigComp)(BIGCOMP), Hong Kong, China, 2016, pp. 525-528.
doi:10.1109/BIGCOMP.2016.7425985
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