Intelligent Automatic Processing of Sports Image Based on Deep Learning Algorithm

With the continuous progress of science and technology, artificial intelligence has been applied to all aspects of life, and deep learning is closely connected with artificial intelligence. Therefore, the places where artificial intelligence is applied in all walks of life have the shadow of deep learning. Sports image is a kind of video which needs continuous motion. Behavior recognition is to analyze and classify the behavior in the video. This paper analyzes the detection of athletes' sports video, which refers to the identification of athletes' behavior. Therefore, based on the existing behavior detection and the extraction ability of deep learning, this paper uses the improved convolutional neural network (T-TP3DResNet) to study the behavior recognition. The experimental results show that the accuracy of the improved convolutional neural network is 89.9% compared with other behavior recognition algorithms.