We propose a new video analysis method for counting vehicles, where we use an adaptive bounding box size to detect and track vehicles according to their estimated distance from the camera given the scene-camera geometry. We employ adaptive background subtraction and Kalman filtering for road/vehicle detection and tracking, respectively. Effectiveness of the proposed method for vehicle counting is demonstrated on several video recordings taken at different time periods in a day at one location in the city of Istanbul.
Automatic Vehicle Counting from Video for Traffic Flow Analysis
2007 IEEE Intelligent Vehicles Symposium ; 392-397
01.06.2007
481577 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Automatic Vehicle Counting from Video for Traffic Flow Analysis
British Library Conference Proceedings | 2007
|Vehicle Detection and Counting in Traffic Video Based on OpenCV
Trans Tech Publications | 2013
|Road Traffic Counting and Analysis Using Video Processing
Springer Verlag | 2020
|Road Traffic Counting and Analysis Using Video Processing
TIBKAT | 2021
|Vehicle counting and traffic flow parameter estimation for dense traffic scenes
IET | 2020
|