We start with zero-initialized parameters in the assignment, so I am wondering how would have a good initial guess in a proper scenario?
motoole2
In assignment 6, we are tracking an object throughout a video sequence. Given the position of the object in the first frame, we assume that the object is approximately in the same location in the next frame and use this to initialize the image alignment procedure. That way, for every frame, we are just making small adjustments to $p$.
Another approach could be to (i) use a feature-based detector to warp an image, similar to assignment 2, and (ii) use this image alignment to refine the solution.
We start with zero-initialized parameters in the assignment, so I am wondering how would have a good initial guess in a proper scenario?
In assignment 6, we are tracking an object throughout a video sequence. Given the position of the object in the first frame, we assume that the object is approximately in the same location in the next frame and use this to initialize the image alignment procedure. That way, for every frame, we are just making small adjustments to $p$.
Another approach could be to (i) use a feature-based detector to warp an image, similar to assignment 2, and (ii) use this image alignment to refine the solution.