Abstract | ||
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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. |
Year | DOI | Venue |
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2016 | 10.1109/BIGCOMP.2016.7425985 | 2016 International Conference on Big Data and Smart Computing (BigComp) |
Keywords | Field | DocType |
CCTV image big data,pattern change graph analysis,vehicle detection | Computer vision,Horizontal and vertical,Traffic flow,Computer science,Pattern analysis,Artificial intelligence,Pixel,Traffic volume,Analytics,Big data,Brightness | Conference |
ISSN | Citations | PageRank |
2375-933X | 0 | 0.34 |
References | Authors | |
1 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hyeongsoon Im | 1 | 0 | 0.34 |
Bonghee Hong | 2 | 140 | 68.51 |
Seungwoo Jeon | 3 | 7 | 1.18 |
Jaegi Hong | 4 | 0 | 0.68 |