Traffic surveillance and anomaly detection using image processing
Siddharth Shashikar, Vikas Upadhyaya · 2017
Today there is a huge increase in the use of automobiles on roads and highways which has increased the concern to monitor and regulate the traffic on roads and highways. This has led to proposal of new and efficient traffic surveillance systems. This research focusses on detecting direction anomalies in the traffic surveillance videos using basic Image processing techniques and algorithms. The direction of the detected vehicle is checked per frame and if there is a case of direction anomaly, concerned authority is informed.