Traffic Spatial Measurements Using Video Image Processing

S. Beucher; J. M. Blosseville; F. Lenoir

doi:10.1117/12.942815

19 February 1988 Traffic Spatial Measurements Using Video Image Processing

S. Beucher, J. M. Blosseville, F. Lenoir

Proceedings Volume 0848, Intelligent Robots and Computer Vision VI; (1988) https://doi.org/10.1117/12.942815
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States

Abstract

Algorithms of video traffic image processing, presented below, have been developed by CMM and INRETS using 256x256x6 bits images collected from various scenes covering a 150 m area of a freeway under various weather conditions. First, road detection is automatically performed. The road and traffic lanes images are used to derive relationships between real and image distances and to build image transformations independant from the perspective view. Then, markers of the vehicles are extracted using geometrical adapted filters. These markers are joined to define a single marker for each vehicle. Finally, vehicles trajectories are built and traffic variables are specified.

Citation Download Citation

S. Beucher, J. M. Blosseville, and F. Lenoir "Traffic Spatial Measurements Using Video Image Processing", Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); https://doi.org/10.1117/12.942815

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available