Method for extracting and identifying small sample character contour feature

A technology of contour features and human body contours, applied in character and pattern recognition, instruments, computer components, etc., can solve the problems of limited practical application, low robustness, etc., to overcome the main obstacles, strong robustness, and eliminate illumination effect of change

Inactive Publication Date: 2010-01-27
SHANGHAI JIAO TONG UNIV
View PDF0 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The advantage of this method is that it is easy to obtain and has strong anti-noise ability. However, the direct use of gait energy map for matching has a big defect: the robustness is not high, which limits its practical application.

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 extracting and identifying small sample character contour feature
  • Method for extracting and identifying small sample character contour feature
  • Method for extracting and identifying small sample character contour feature

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The technical solutions of the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. The following examples are implemented on the premise of the technical solutions of the present invention, and detailed implementation methods and processes are given, but the protection scope of the present invention is not limited to the following examples.

[0023] like figure 1 Shown in the method flow chart of the present invention, the specific implementation steps of the present embodiment are as follows (using Visual C++ language programming):

[0024] (1) Extract the foreground image of the human body contour in the target person video:

[0025] First, the function function in OpenCV (Intel open source computer vision library) is used to read the video of the target person into the computer, and then the background modeling and real-time update of the video are performed, and the method of subtracting the cur...

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 method for extracting and identifying small sample character contour features which comprises the following steps: firstly extracting body contour images in a target character video; secondly dividing gait cycles, unifying the size of the body contour images, and extracting feature factors of the body contour; and then working out a gait energy diagram and feature factors of each gait cycle, and obtaining contour feature data of the character by multiplying a gray-scale histogram of the gait energy diagram by the feature factors of the gait energy diagram; and then putting the contour feature data of a well-trained target character into a training library; finally working out the contour feature data of the character to be identified, carrying out improved nearest neighbor matching with the character in the training library, wherein the character in the training library which has a minimum distance with the character is identified to be the character to be identified, and finishing the character identification. The invention eliminates the influence of a great deal of noises in actual complex environments, shows body contour information, extracts effective character features and can be used for identifying the characters in household scenes.

Description

technical field [0001] The invention relates to a method for extracting and identifying features of a small-sample human profile, in particular to a method for extracting human body profile information from a single fixed camera and identifying a character based on the feature information. The invention can be widely applied to person recognition in family scenes, etc., and belongs to the field of person recognition in pattern recognition. Background technique [0002] In recent years, the high-tech development of the world's home appliance industry has attracted attention. While paying close attention to a series of new changes they have brought to people's lives, people are also paying special attention to their future development trends. Japan's home appliance manufacturing giants are now aiming at the evolution of international home appliance competition and the requirements of future competition, and relying on their high-tech advantages, they have proposed a new plan f...

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): G06K9/00G06K9/46G06K9/62
CPCG06K9/00348G06V40/25
Inventor 孙兵李科刘允才
Owner SHANGHAI JIAO TONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products