Abstract
For some professional sports, it is required to supervise and analyze the athletics pose in training of athletes. In order to facilitate the browse of training videos, it’s necessary to extract the key frames from training videos. In this paper, we propose a deep key frame extraction method for analyzing sport training videos. To alleviate the bias from complex background, Fully Convolutional Networks (FCN) is employed firstly to extract the foreground region which contains the athlete and barbell. Then over the extracted foregrounds, Convolutional Neural Networks (CNN) are leveraged to estimate the pose probability of each frame and extract the key frames by the maximum probability on each pose. The experimental results demonstrate that the proposed method achieves good performance in key frame extraction of sport videos comparing method.
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