Sports Athlete Action Recognition Method Based on Improved Fully Convolutional Neural Network
Traditional sports athlete action recognition methods directly output the results of sports athlete action recognition without extracting the movement area,resulting in low recognition accuracy.The article proposes a sports athlete action recognition method based on an improved fully convolutional neural network.By using a camera to capture images of sports athlete movements and extracting motion regions based on an improved fully convolutional neural network,the process of sports athlete movement recognition is carried out.The input action image is then outputted to achieve sports athlete movement recognition based on an improved fully convolutional neural network.The experimental results indicate that the research method has high recognition accuracy and certain advantages.
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