Reference and Target Datasets with the Point-Descriptor-Precedence representation

There are four reference datasets generated using the animations given in slides 1-4 of the Animation.pptx: Reference Movement Pattern with one-point, two-points, four-points, and two-points for the length, width and speed analysis. The animations are stored in the video format and then a sequence of images were extracted to create static reference datasets/movement patterns.
The Target dataset consists of 46 vehicles and is created using the animation given in Target.pptm, which has a built in macro to run the simulation and save it in a video format. The video is then used to extract images which matched exactly with the reference datasets. This resulted in finding the exact matches of the reference datasets.
The code is written in Python and can be run with any Python IDE.