Unlock instant, AI-driven research and patent intelligence for your innovation.

Human body detection method and device based on vision

A visual detection device and human body detection technology, applied in diagnostic recording/measurement, medical science, sensors, etc., can solve the problems of complex experimental process, large constraints on experimenters, practical limitations, etc., and achieve simple detection process and small size , low cost effect

Active Publication Date: 2018-12-25
SHANGHAI UNIV
View PDF9 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Although wearable devices can detect the human body, the experimental process is complicated and the experimenter is greatly restrained, which has certain limitations in terms of practicability.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Human body detection method and device based on vision
  • Human body detection method and device based on vision
  • Human body detection method and device based on vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] Preferred embodiments of the present invention are described in detail in conjunction with the accompanying drawings as follows:

[0028] 1. The steps include:

[0029] In this embodiment, the acquisition of human motion data is realized by using open source development libraries such as Kinect sensor and OpenNI. First, open the Kinect device through OpenNI and open the color data stream and depth data stream, and then use the middleware NiTE to process the data stream, analyze and track the human skeleton and obtain the required human joint information. By tracking the human skeleton and identifying joint points, 15 joint points of the human body can be obtained, and a simplified human skeleton model can be constructed by using these 15 joint points. According to the needs of the present invention, selected as figure 1 The joint points of the human body shown are the trunk Pt, the right shoulder Prs, the left shoulder Pls, the left elbow Ple, the left wrist Plh, and ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a human body detection method and device based on vision. According to the method, the human body motion information of a user is acquired by using a motion acquisition deviceand a host, the human body motion information comprises human skeleton information and gesture information, the human skeleton information is acquired by using a Kinect sensor, and the gesture information is acquired by using a Leap Motion sensor. Kalman filter is used to filter the coordinates of the joints of the human body so as to improve the stability and the accuracy. The complete detectionof human body motion requires the combination of the Kinect and Leap Motion, as the detection distance is different, the two devices cannot be installed at the same position, the installation problemof the Leap Motion must be addressed. According to the invention, a mounting and fixing device is designed for the Leap Motion, which meets the requirements. Through transforming the coordinates, themotion information of the human body is transformed from the sensing coordinate system of the leapmotion to the human body coordinate system and the world coordinate system (Kinect sensing coordinatesystem), and the human motion change is more intuitively displayed.

Description

technical field [0001] The invention relates to the field of human body detection, in particular to a vision-based human body detection method and device. Background technique [0002] Although wearable devices can detect the human body, the experimental process is complicated and the experimenter is greatly restrained, which has certain limitations in terms of practicability. [0003] Vision-based human detection technology can be carried out remotely without restraining the experimenter, which increases the practicability of specific scenarios. [0004] The powerful function of Kinect lies in the detection of medium-to-long-distance and large-sized objects, and the detection accuracy of short-distance and small objects is low, such as palms; Leap Motion is just the opposite, it can accurately detect small-sized objects in the vicinity . In order to detect the movement of the human arm and palm, Kinect is combined with LeapMotion, Kinect completes the detection of arm to ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): A61B5/11A61B5/107
CPCA61B5/107A61B5/1077A61B5/11
Inventor 王梅张震卢熙昌周华王文超
Owner SHANGHAI UNIV