@inproceedings{c87131edfbf44a91a898482baffea92d,
title = "Scale-accurate 3D vehicle point cloud extraction from single-camera traffic video",
abstract = "Reliable data extraction is essential to achieving a high-level understanding of the processes ongoing in the traffic environment. The ability to extract 3D structural properties of vehicles enables advanced traffic analysis such as vehicle classification and the detection of traffic rule violations, accidents, and near-collisions. A novel method is presented for extracting 3D structural properties of moving vehicles using a single camera. This method operates by tracking features of the vehicle as it travels through the camera{\textquoteright}s field of view. Two-frame structure from motion is then used to extract a 3D point cloud representing the structure of the vehicle. In addition, a robust pose estimation algorithm is given for relating the geometry of the street surface to the position of the camera with minimal user interaction. It is shown that the resulting 3D point cloud can be used to accurately approximate the dimensions of vehicles to within a half foot of their true dimensions.",
keywords = "3D reconstruction, Bundle adjustment, Pose estimation, Structure from motion, Traffic camera",
author = "J{\c e}drzej Kowalczuk and Psota, {Eric T.} and P{\'e}rez, {Lance C.}",
year = "2013",
language = "English (US)",
series = "Proceedings of the 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013",
publisher = "CSREA Press",
pages = "626--632",
editor = "Arabnia, {Hamid R.} and Leonidas Deligiannidis and Joan Lu and Tinetti, {Fernando G.} and Jane You and George Jandieri and Gerald Schaefer and Solo, {Ashu M. G.} and Vladimir Volkov",
booktitle = "Proceedings of the 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013",
note = "2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013, at WORLDCOMP 2013 ; Conference date: 22-07-2013 Through 25-07-2013",
}