Exploring Methods for Tracing an Object Througn Its Enviroment and Predicting Trajectories Using Interpolation

In this research, we have explored methods for tracing objects in video: using neural networks, capturing points inside an object, using video filters, and tracking and capturing points outside the object itself. Also, this research talks about predicting the trajectory of objects using interpolation and object capture using one of the previously described methods. An experiment was carried out, because of which we figured out the best method for tracing objects, and also evaluated the accuracy of the prediction of our trajectories.