An Algorithm for Vehicle Detection and Tracking

In this paper, we propose a vehicle detection and tracking
algorithm. The detection is done using the median filtering
and blob extraction. Median filtering is used for background
extraction which is later subtracted from the motion frames
for object detection. Morphological operators are employed
for blob extraction. Hence, object detection is achieved
using median filtering and morphological closing operation.
Kalman filtering is used for object tracking which uses
location of blobs. One of the advantages of this system is
that each vehicle in the frame is classified into different
color boxes. We present preliminary research results that
will finally lead to the identification of the tracked vehicle.