The use of motion tracking for full body motion in virtual reality enables users to match their physical movement with virtual avatars thereby making the virtual experience more realistic, which offers several benefits at a plethora of applications. Today's full-body tracking systems are too complex (for instance, requiring multiple cameras or high-priced external tools) and must undergo a lengthy calibration process, which contradicts the desire to make VR more portable and integrated. The aim of this project is to create a full body tracking solution that is widely accessible. The paper describes a number of tools used for motion tracking. A comparison of different methods is made, along with a discussion of their outcomes. This leads to the development of an attainable computer vision-based solution.