Object Tracking Robot Using SIFT Based Computer Vision

Abstract

Latterly, we have seen an immense increase in the amount of research, development and investment dedicated to the field of Autonomous Vehicle Technology or in common terms - Self-Driving Vehicles. While modern autonomous vehicles commonly use Machine and Deep Learning models using data from sensors to understand the environment and move autonomously, this project demonstrates the use of a digital image processing algorithm- SIFT, to enable a robot to track specific objects in an environment and follow them. The implementation of an efficient and innovative image tracking algorithm for autonomous vehicles is the most important outcome of this work. This paper mentions a few use cases of this work along with the potential and future scope of it.