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.
11. The computer-implemented method of claim 10 , wherein the set of best estimated bounding boxes is determined so as to minimize an expected loss in annotation quality across the video sequence.