Software Pipeline for Vehicle Detection and Tracking using CNN

With the emergence of Self-Driving Cars and Intelligent Transport Systems, Vehicle detection and Tracking is highly essential for various civilian and military applications. Convolutional Neural Networks (CNN) have become the gold standard for image classification and have improved to the point where they could outperform humans in this regard. Therefore, they could provide a solution to many contemporary problems involving vehicle detection and tracking. This project involves training a CNN with a dataset of labeled vehicles and use this trained model to perform vehicle detection and tracking whose performance is tested and evaluated.