Indoor fall automatic detection system based on tof 3D camera

Abstract

The invention relates to an indoor falling down automatic detection system based on a TOF 3D video camera, belonging to the technical field of automatic monitoring. The indoor falling down automatic detection system provided by the invention comprises a front end subsystem and a background monitoring response subsystem; the front end subsystem comprises a video recording module, an identificationmodule, an image storage module and a wireless communication module; the background monitoring response subsystem comprises a data response module, a data storage module, an analysis and decision module and an emergency response module; the identification module of the front end subsystem segments and marks indoor moving objects according to variation of continuous depth distribution data in depthimage data taken by the video recording module; and by analyzing depth data of the moving indoor objects in a continuous movement process, whether falling down of people happens is judged. In the system provided by the invention, depth image data of photographing sequences of the 3D video camera is used, in use, users are free from worrying about privacy disclosure, use cannot be influenced by variation of environment brightness, indoor lighting is not needed, and normal indoor life cannot be affected.

Description

technical field [0001] The present invention relates to the technical field of automatic monitoring, and more specifically, the present invention relates to an indoor fall automatic detection system based on a TOF 3D camera. Background technique [0002] my country is rapidly entering an aging society, with a large number of elderly people. The elderly may fall due to the decline of various physical functions, illness and medication. Due to social and economic development and changes in family structure, the number of elderly families living alone in empty nests is increasing sharply. Many falls often occur indoors, such as getting up to stand, going to the toilet, taking a bath, etc. Only a few falls occur in the living room. During dangerous activities, such as climbing ladders, carrying heavy objects, etc. If a fall occurs and cannot be rescued in time, it will cause serious consequences and even death. The current main methods for detecting the fall behavior of the hum...

AI Technical Summary

Problems solved by technology

If a fall occurs and cannot be rescued in time, it will cause serious consequences and even death

The current main methods for detecting the fall behavior of the human body when moving indoors are basically divided into three categories: 1. Use the 3D gravity sensor that can detect the acceleration of motion carried by the moving human body to detect whether the center of gravity of the human body changes suddenly to determine whether it has fallen; Although this method is simple to set up and operate, it is poor in comfort and other reasons, causing the elderly to not carry it when they are prone to falls, such as sleeping or taking a bath at night, or forget to carry it for other reasons. Alarm; 2. Use the video camera to collect motion video, analyze the joint points and center of gravity of the moving human body, and judge whether it has fallen according to the change of the center of gravity or shape of the human body; this method may have multiple moving objects and the body of the moving object within the monitoring range Due to the changeable location and the impact of the shooting effect on the ambient light, the accuracy of fall judgment is not high; at the same time, because the judgment needs to continuously collect color or black and white images in the home, which may cause privacy leakage, so it is used in the family room. Rarely; 3. Use pre-arranged sensors based on the indoor environment to detect the fall of a moving human body, such as laying a carpet with a pressure sensor on the ground. Therefore, there are few practical applications

Images