VIDEO-BASED DETECTION AND TRACKING MODEL FOR ACQUIRING TRAFFIC DATA

Abstract

This research aims to develop a Video-Based Detection And Tracking Model called "VBDATM". This model was developed using features of Matlab programming language for detecting and tracking moving vehicles as well as collecting traffic data. The developed model was thoroughly validated using simulated video clips designed in VISSIM and tested using video clip recorded on a major street in Cairo Governorate. The model was then utilized to real-time applications, which proved that the model is a valuable tool for ITS applications.

(Key Words: Video Image Processing, Traffic Surveillance, Vehicle Detection, Vehicle Tracking, Speed)