Human behavior recognition method and human behavior recognition system based on depth neural network

Abstract

The invention provides a human behavior recognition method based on a depth neural network, comprising the following steps: acquiring original depth data stream of an actor; extracting human skeleton joint data from the original depth data stream of the actor; modeling the entire human body with three-dimensional coordinates corresponding to the extracted human skeleton joint data; extracting features by modeling the entire human body, sending feature data to a restricted Boltzmann machine network for preprocessing, training out a depth neural network model based on received weight initialization BP neural network parameters, and identifying a behavior from a feature extraction result; overlapping the extracted human skeleton joint data and the actual human body through multi-threaded parallel processing, and displaying the identified behavior in real time; and establishing an abnormal behavior template library and alarming for a detected abnormal behavior. The change of human behavior can be detected in real time, and alarm can be raised for abnormal behaviors (such as fall) of a human body.

Description

technical field [0001] The invention relates to the field of video recognition, in particular to a human behavior recognition method and recognition system based on a deep neural network. Background technique [0002] As we all know, now is the era of aging of the human body. my country has the largest elderly population in the world. According to reports, the elderly population will reach 248 million by 2020. Coupled with the implementation of family planning, the only child is busy with work. Lives independently most of the time. Many abnormal behaviors cannot be detected in time, so that the tragedies of the elderly delaying treatment and losing their lives occur from time to time, seriously affecting the quality of life of the elderly. For example, falling behavior is the direct cause of injury death among the elderly over 65 years old in my country. If we can accompany the empty-nest elderly in their daily life, effectively identify their behavior, and detect abnormal ...

AI Technical Summary

Problems solved by technology

[0005] In view of this, the purpose of the embodiments of the present invention is to provide a human behavior recognition method and recognition system based on a deep neural network, which aims to solve the problems of limited types of human behavior recognition, low recognition accuracy, and slow recognition speed in the prior art. question

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