Behavior recognition technical method based on deep learning

Abstract

The invention discloses a behavior recognition technical method based on deep learning, which solves a problem that the intelligentization of a video monitoring system in the prior art needs to be improved. The method comprises the following steps of constructing a deeper space-time double-flow CNN-GRU neural network model by adopting a mode of combining a double-flow convolutional neural networkand a GRU network; extracting the time domain and space domain features of the video; extracting the long-time serialization characteristics of the spatial-temporal characteristic sequence according to the capability of the GRU network for memorizing information, and carrying out the behavior recognition of a video through employing a softmax classifier; proposing a new related entropy-based lossfunction; and with the help of a method for processing the mass information by referring to a human brain visual nerve attention mechanism, introducing an attention mechanism before a space-time double-flow CNN-GRU neural network model performs space-time feature fusion. The accuracy of the model provided by the technology is 61.5%, and compared with an algorithm based on a double-flow convolutional neural network, the recognition rate is improved to a certain extent.

Description

Technical field [0001] The present invention relates to computer video recognition technology, and in particular to a behavior recognition technology method based on deep learning. Background technique [0002] With the development of network technology and the rapid advancement of multimedia technology, various video media have become ubiquitous in people's lives. Video has become a commonly used method of transmitting information in modern society, and the growth trend of video services is still increasing rapidly. With the widespread use of video devices such as digital cameras and smartphones, people have become popular in sending short videos as a way to transmit information to each other, replacing traditional text and pictures. The cost of producing videos is getting lower and lower, and the Internet is widely spread. A large amount of video information is generated every day, and a huge video library has been generated on the Internet. Huge data resources have broug...

AI Technical Summary

Problems solved by technology

[0007] The present invention overcomes the problem that the intelligence of the video monitoring system needs to be improved in the prior art, and provides a behavior recognition technology method based on deep learning with good processing effect

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