Improving Algorithms for the Automated Tracking of Objects in Videos

Writing algorithms to track the position of objects in a video opens the door to automate the collection of position data in an experiment. Given a template of an object, the algorithm in the software will run through a video frame by frame and automatically find the position of the object. One important piece of this software is using a comparison method that compares the template image to a certain location in the frame to see how similar they are. This project explored a few possible methods to do the comparison and tested them to see how effective each was in finding the correct position of the object.