Abstract
Aiming at the problems of low recognition rate and slow recognition speed of traditional body action recognition methods, a human action recognition method based on data deduplication technology is proposed. Firstly, the data redundancy technology and perceptual hashing technology are combined to form an index, and the image is filtered from the structure, color, and texture features of human action image to achieve image redundancy processing. Then, the depth feature of processed image is extracted by depth motion map; finally, feature recognition is carried out by convolution neural network so as to achieve the purpose of human action recognition. The simulation results show that the proposed method can obtain the optimal recognition results and has strong robustness. At the same time, it also fully proves the importance of human motion recognition.
Highlights
Human motion recognition is the main research content of artificial intelligence and pattern recognition, which has attracted wide attention of scholars from all walks of life, for a long time, with the continuous progress and development of science and technology [1, 2]
Human motion recognition is faced with huge challenges due to the different influences of chaotic background and perspective changes
Human movements can be set as a series of orderly poses, and there are great differences between different people or the same people when they perform the same actions under different circumstances [3]
Summary
Human motion recognition is the main research content of artificial intelligence and pattern recognition, which has attracted wide attention of scholars from all walks of life, for a long time, with the continuous progress and development of science and technology [1, 2]. Human motion recognition is faced with huge challenges due to the different influences of chaotic background and perspective changes. Humans can recognize most movements at a glance, but some remain elusive. Human movements can be set as a series of orderly poses, and there are great differences between different people or the same people when they perform the same actions under different circumstances [3]. A human motion recognition method based on data redundancy technology is proposed by combining with data redundancy technology. E experimental data analysis shows that the proposed method can realize human motion recognition quickly and accurately A human motion recognition method based on data redundancy technology is proposed by combining with data redundancy technology. e experimental data analysis shows that the proposed method can realize human motion recognition quickly and accurately
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