Human detection and pose estimation for motion picture logging and visualisation
نویسنده
چکیده
ii intelligent than conventional approaches as it is designed to select frames representing content of videos. We finally apply our methods to build a video logging system, which automatically records actions of gymnastic videos according to the actions displayed. Both systems perform well for a small set of motion categories. However they are object-dependent systems that need users to manually select target objects, and the performance is limited by the human body detector and pose estimator.
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