Details

Autor(en) / Beteiligte

• Schoepflin, Todd N.
• Dailey, Daniel J.

Titel

Cross-Correlation Tracking Technique for Extracting Speed from Cameras Under Adverse Conditions

Ist Teil von

• Transportation research record, 2004, Vol.1867 (1), p.36-45

Ort / Verlag

Los Angeles, CA: SAGE Publications

Erscheinungsjahr

2004

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• An algorithm to estimate speed from traffic surveillance cameras in a variety of traffic congestion, weather, and lighting conditions is presented. The features from the images are projected into a one-dimensional sub-space and transformed into a linear coordinate system by using a simplified camera model. A cross-correlation technique is used to summarize the movement of features through a group of images and to estimate mean speed for each lane of vehicles. A Kalman filter technique with a set of maximum-likelihood optimal parameters is used to estimate the traffic speed by lane to create an optimal space-averaged speed.