Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Indoor human body detection tracking and identity recognition system based on multiple sensors

A human detection and multi-sensor technology, applied in character and pattern recognition, instruments, image data processing, etc., can solve problems not mentioned

Active Publication Date: 2017-03-15
BEIJING UNIV OF TECH
View PDF2 Cites 64 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When a human target is detected, how to identify the identity is a very important task. The traditional method detects the face part of the human body image and identifies the detected part, but the traditional method does not mention that if there is no Detecting face parts in human body images How does the detection system identify human body identity

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
  • Indoor human body detection tracking and identity recognition system based on multiple sensors
  • Indoor human body detection tracking and identity recognition system based on multiple sensors
  • Indoor human body detection tracking and identity recognition system based on multiple sensors

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] to combine Figure 1 to Figure 9 , detailing the system.

[0041] figure 1The block diagram of the system structure is shown. Arduino reads the pyroelectric sensor signal to complete the initial positioning, moves the camera to the range of human activities, and then the camera collects all visual information in the current viewing angle, and transmits the video sequence to the computer of the system. Use the HOG+SVM algorithm to detect the human body in the video, and then adjust the camera servo and chassis motor so that the human body always appears within the viewing angle of the camera. The computer uses Adaboost to perform face detection on the cropped human body frame image. If a human body is detected The face uses PCA for identification. If no face is detected, the human body PCA is directly used for identification. The reason why PCA is not directly used for identification is that using PCA to directly identify a face is more important than identifying the en...

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 discloses an indoor human body detection tracking and identity recognition system based on multiple sensors, and the system completes the preliminary positioning of a human body through a pyroelectric infrared sensor, and a camera is enabled to move to a range where the human body appears through a steering machine. The system collects the image information of the range through the camera, and transmits the image information to the computer. The computer completes the related calculation related with the human body detection, and controls the steering machine to drive the camera and a moving platform to track the human body. The computer enables the collected image information to be matched with background information, so as to determine the identity of a detected person. The system is mainly used for detecting whether there is a person invading an indoor environment or not, and helping an indoor mobile service robot determine a target person in service. The system mainly controls a camera steering machine holder through the pyroelectric infrared sensor so as to enable the camera steering machine holder to rotate to the range of human activity, and detect and track the human body through visual information. After the human body is detected, the system carries out the identity recognition through Adaboost and a principal component analysis method.

Description

technical field [0001] The invention relates to the technical field of indoor human body detection, in particular to a system for detecting and tracking indoor moving human bodies and completing identity recognition through a pyroelectric infrared sensor and a monocular camera. Background technique [0002] With the development of computer vision technology, the problem of human motion analysis has received great attention, and human body detection, tracking and identification are important components of human motion analysis based on computer vision. It has a wide range of application background and economic value in the fields of human-computer interaction, video surveillance, smart car system, virtual reality and so on. Indoor human detection, tracking and recognition technology is one of the important applications. For example, in an indoor interactive environment, this technology can help mobile service robots determine the target service person, and can also monitor ch...

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): G06K9/00G06K9/62G06T7/80
CPCG06T2207/10004G06T2207/20081G06T2207/30196G06T2207/30201G06V40/161G06V40/103G06F18/285G06F18/2411
Inventor 于乃功王琛蒋晓军苑云鹤刘庆瑞蔡建羡
Owner BEIJING UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products