10. The computer-implemented method of claim 9 , wherein the Kalman filtering performs filtering using the set of already provided annotations and the optical flow information to output (i) a set of best estimated bounding boxes across each of the plurality of frames and (2) the annotation uncertainty measure for any of the plurality of frames that include one of the best estimated bounding boxes from the set.
9. The computer-implemented method of claim 1 , wherein the estimated box annotations of the given target object are generated further based on Kalman filtering applied to the video sequence.