Scale-accurate 3D vehicle point cloud extraction from single-camera traffic video

Jędrzej Kowalczuk, Eric T. Psota, Lance C. Pérez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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’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.

Original languageEnglish (US)
Title of host publicationProceedings of the 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013
EditorsHamid R. Arabnia, Leonidas Deligiannidis, Joan Lu, Fernando G. Tinetti, Jane You, George Jandieri, Gerald Schaefer, Ashu M. G. Solo, Vladimir Volkov
PublisherCSREA Press
Pages626-632
Number of pages7
ISBN (Electronic)1601322534, 9781601322531
StatePublished - 2013
Event2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013, at WORLDCOMP 2013 - Las Vegas, United States
Duration: Jul 22 2013Jul 25 2013

Publication series

NameProceedings of the 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013
Volume2

Conference

Conference2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013, at WORLDCOMP 2013
CountryUnited States
CityLas Vegas
Period7/22/137/25/13

Keywords

  • 3D reconstruction
  • Bundle adjustment
  • Pose estimation
  • Structure from motion
  • Traffic camera

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

Fingerprint Dive into the research topics of 'Scale-accurate 3D vehicle point cloud extraction from single-camera traffic video'. Together they form a unique fingerprint.

Cite this