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Model-based camera tracking methods basically require visual cues to be as correctly tracked as possible. However, the requirement is not likely to be satisfied in uncontrolled real environments. Incorrectly tracked visual cues are the main cause of jitter which annoys users in augmented reality. Therefore, we propose a jitter suppression method that guesses the magnitude of camera motion based on...
In this paper we tackle the task of picking parts from a bin (bin-picking task), employing a 6-DOF manipulator on which a single hand-eye camera is mounted. The parts are some cylinders randomly stacked in the bin. A Quasi-Random Sample Consensus (Quasi-RANSAC) ellipse detection algorithm is developed to recognize the target objects. Then the detected targets' position and posture are estimated utilizing...
We propose a machine learning method of a TV cameraman's shooting technique with a neural network so that a robot camera can automatically shoot like an experienced cameraman. An experiment using a simulator that we developed shows that, by using our method, the cameraman's shooting technique can be quickly and easily embodied in the control system of the robot camera. Moreover, we derive guidelines...
We propose a way of quickly and automatically identifying the positions of players in soccer broadcast video. The approach is based on fast specification of camera view angles corresponding to frame pictures by using a ldquoblock-based searchrdquo. Our method can decide on a camera view angle that corresponds to a frame picture by making block-based connections for how to allocate ldquoline-blocksrdquo,...
An automatic pitch type recognition system has been developed. It is difficult to determine the pitch type automatically from a baseball broadcast video, so the decision is currently made by specialists that have expertise and experience in baseball. We developed a system incorporating expertise of professionals. The system identifies pitch type, such as straight balls and curveballs, from single-view...
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