Multiresolution parametric region tracking for 2D object replacement in video

This paper develops an efficient parametric multiresolution region tracking algorithm which is applied to the task of object replacement in video sequences. The tracker relies on gradient-based techniques to provide efficient estimation of the target location and pose in each frame. The tracking algorithm improves upon similar efficient parametric algorithms by increasing the distance an object can move from frame to frame. Experimental results provide clear evidence of the improved performance over existing region tracking. The parameters that estimate the pose and location of the target are used to initialise the object replacement algorithm. The object replacement uses the pose estimates with texture mapping techniques to perform image warping of an arbitrary sized replacement image. The location estimates are used to accurately insert the replacement image into the current frame.