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

Method for detecting human body based on range image

A depth image and human body detection technology, applied in the field of image processing, can solve problems such as difficulty in overcoming illumination changes and complex background interference, misidentification of non-human body areas as human bodies, and high false detection rate, so as to remove interference from illumination changes and complex backgrounds , high accuracy and low false detection rate

Inactive Publication Date: 2011-07-13
于仕琪
View PDF5 Cites 38 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the pixel value of an ordinary image is only related to the surface color of the object, the intensity of reflected light or the intensity of emitted light, and has no direct relationship with the distance from the object to the camera. The shadow of the person caused by the light and the complex texture on the image background (such as the shape of the human body painted on the wall) will interfere with the detection of the human body, and some non-human body areas will be misidentified as human bodies, and the false detection rate is high.

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
  • Method for detecting human body based on range image
  • Method for detecting human body based on range image
  • Method for detecting human body based on range image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0040] refer to figure 1 , propose an embodiment of a method for detecting a human body based on a depth image of the present invention, including:

[0041] Step S101, extracting image features according to the pixels of the collected depth image;

[0042] Depth images are collected using devices such as depth cameras or laser ranging scanners. Shooting with a depth camera or a laser ranging scanner can record the three-dimensional data of the environment, that is, depth information, and the depth information is stored in the form of a depth image (three-dimensional data). The value of each pixel in the depth image represents the distance from the object to the camera. The larger the pixel value, the farther the object is from the camera. The pixel value of the depth image is only related to the distance from the ob...

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 a method for detecting a human body based on a range image, comprising the following steps: extracting an image characteristic according to the pixel of the collected range image; and inputting the image characteristic into a preset classification model to obtain whether the range image comprises the human body. With the method for detecting a human body based on a range image in the invention, the pixel of the range image is used for extracting the image characteristic so as to detect the human body and lower an error detection rate.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method for detecting a human body based on a depth image. Background technique [0002] At present, the algorithms for human body detection on images are all performed on ordinary images (two-dimensional data), and the value of each pixel in the image represents the brightness of the object. For example, the brightness of white clothes is higher than that of yellow skin. Therefore, the pixel value of an ordinary image is only related to the surface color of the object, the intensity of reflected light or the intensity of emitted light, and has no direct relationship with the distance from the object to the camera. The shadow of the person caused by the light and the complex texture on the image background (such as the shape of the human body painted on the wall) will interfere with the detection of the human body, and some non-human body areas will be misidentified as human bodi...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62
Inventor 于仕琪
Owner 于仕琪
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