Front human face detection method based on sensitive area

A technology of frontal face and sensitive areas, applied in the field of pattern recognition, to achieve the effect of strong practicability, high judgment accuracy and fast detection speed

Active Publication Date: 2013-12-25
THE THIRD RES INST OF MIN OF PUBLIC SECURITY
View PDF5 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This detection method can effectively overcome the problem of long detection time of the traditional Adaboost algorithm, and at the same time, it can

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
  • Front human face detection method based on sensitive area
  • Front human face detection method based on sensitive area
  • Front human face detection method based on sensitive area

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific illustrations.

[0027] The invention detects the human face by extracting the Haar-like feature, shape feature, skin color feature and space feature of the human face, and determines whether the obtained human face image is a frontal human face image.

[0028] see figure 1 , which is shown as the flow chart of the frontal face detection method based on the sensitive area proposed by the present invention, as can be seen from the figure, the detection method includes the following steps:

[0029] Step 1. Set the sensitive area. The sensitive area is set manually according to the actual situation of the video scene. Specifically, the corresponding sensitive area is determined by manually setting the virtual coil, which can greatly shorten the time for automatic ...

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 front human face detection method based on a sensitive area. The method comprises the following steps that a virtual coil is set and the position and the size of the sensitive area are determined; the motion foreground in the sensitive area is detected and tracked through background modeling; the candidate area of the human face is detected through the Adaboost algorithm of Harr-like characteristics; some limitation conditions are set to exclude non-front human face images according to the color characteristics of the human face and simplified shape characteristics. According to the front human face detection method based on the sensitive area, due to the fact that the sensitive area is set and the motion foreground is detected, the efficiency of the follow-up Adaboost detection algorithm is improved, and the detection accuracy is improved through the later skin color and shape verification.

Description

technical field [0001] The invention relates to the technical field of pattern recognition, in particular to a front face detection method based on a sensitive area. Background technique [0002] The problem of face detection originally originated from face recognition. The initial face research mainly focused on the field of face recognition, and the early face recognition algorithms were all carried out on the premise that a positive face had been obtained. However, with the continuous expansion of the application range of face and the continuous improvement of the development of actual system requirements, the research under this assumption can no longer meet the needs. Face detection began to develop as an independent research content. [0003] The research on face detection methods can be traced back to the 1970s, and the early researches were mainly devoted to template matching, subspace method, deformed template matching, etc. Recent research on face detection main...

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): G06K9/62
Inventor 胡传平杨慧梅林齐力刘云淮郑旭平谭懿先尚岩峰王文斐
Owner THE THIRD RES INST OF MIN OF PUBLIC SECURITY
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap