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http://dx.doi.org/10.5909/JBE.2017.22.4.448

Optical Flow Based Vehicle Counting and Speed Estimation in CCTV Videos  

Kim, Jihae (LIG Nex1 Avionics R&D Lab)
Shin, Dokyung (LIG Nex1 Avionics R&D Lab)
Kim, Jaekyung (LIG Nex1 Avionics R&D Lab)
Kwon, Cheolhee (LIG Nex1 Avionics R&D Lab)
Byun, Hyeran (Yonsei University, Dept. Computer Science)
Publication Information
Journal of Broadcast Engineering / v.22, no.4, 2017 , pp. 448-461 More about this Journal
Abstract
This paper proposes a vehicle counting and speed estimation method for traffic situation analysis in road CCTV videos. The proposed method removes a distortion in the images using Inverse perspective Mapping, and obtains specific region for vehicle counting and speed estimation using lane detection algorithm. Then, we can obtain vehicle counting and speed estimation results from using optical flow at specific region. The proposed method achieves stable accuracy of 88.94% from several CCTV images by regional groups and it totally applied at 106,993 frames, about 3 hours video.
Keywords
Vehicle Counting; Vehicle Speed Estimation; Inverse Perspective Mapping; Optical Flow; Traffic Situation Analysis;
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