Abstract:
This paper presents an application of computer vision methods to traffic flow
monitoring and road traffic analysis. The application utilizes image-processing and
pattern recognition methods designed and modified to the needs and constrains of
road traffic analysis. These methods combined together gives functional capabilities
of the system to monitor the road, to initiate automated vehicle tracking, to measure
the speed including the main steps for tracking speeds for moving objects. And design
a new proposed algorithm for estimating traffic speed using a sequence of images
from an un-calibrated camera using MATLAB SIMULINK.