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

Face-shielding detecting method based on multi-feature fusion

A technology of multi-feature fusion and face occlusion, which is applied in the field of video detection of face occlusion detection, can solve the problems of insufficient and inability to detect intentional occlusion in real time, and achieve the effect of enhancing robustness

Inactive Publication Date: 2011-08-31
苏州市慧视通讯科技有限公司
View PDF0 Cites 43 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For these problems that are difficult to obtain evidence due to occlusion, the existing technology is not enough in this respect, and it cannot detect the phenomenon of intentional occlusion in real time, so as to find loopholes for criminals to commit crimes

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
  • Face-shielding detecting method based on multi-feature fusion
  • Face-shielding detecting method based on multi-feature fusion
  • Face-shielding detecting method based on multi-feature fusion

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0028] ②Using a face detection algorithm to detect the digital image described in ① to obtain a face image;

[0029] ③Rectify and scale the face image mentioned in ②, and set it to a resolution of 120x140;

[0030] ④ Divide the standardized face image described in ③ into 35 cells with a resolution of 24x20, that is, into 7 rows and 5 columns.

[0031] 5. Computing multiple features of the cell described in ④ to form a cell feature vector, the cell features are preferably Haar feature, LBP (LocalBinaryPattern) feature and HOG feature.

[0032] Haar features and LBP features are grayscale texture features, and HOG is a histogram of gradient orientation. These three characteristics are briefly described below:

[0033] The Haar feature is also called the Haar wavelet operator, and the extracted image Haar feature is a grayscale texture feature. Haar features include: edge features, linear features, center features and diagonal features, which are combined into feature template...

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 face-shielding detecting method based on multi-feature fusion, which is realized with the support of a digital camera and a digital signal processing chip. The method is characterized by comprising the following steps of: using the digital camera to acquire a digital video and converting the digital video into a digital image; obtaining a face image from the digital image by using a face detecting algorithm; aligning and zooming the face image and specifying the face image to a fixed resolution; then dividing the face image into a plurality of cells; and computing feature vectors of all cells; and circularly judging whether the face is shielded, wherein a shielding judgment rule is that the total number of the shielding cells is over a set threshold, or the number of the adjacent shielding cells is over a set threshold. A classifier is obtained by using a method of fusing a plurality of textural features and using an SVM method to train. The face-shielding detecting method based on multi-feature fusion has good classification performance and robustness, which can be widely applied to various monitoring occasions to judge whether a deliberate shielding behavior exists so as to screen out the suspicious personnel.

Description

technical field [0001] The invention belongs to a video detection method, in particular to a video detection method applied to face occlusion detection. Background technique [0002] With the continuous popularization of ATM automatic teller machines in the national financial sector, many businesses that were originally handled at bank outlets can now be self-serviced on ATMs of self-service banks. Depositors can deposit, withdraw, transfer, self-service fee payment and other services on the ATM through the bank card in hand. ATM has brought a lot of convenience to our life, has become an inseparable assistant in our life, and has been fully integrated into the daily life of ordinary people. However, self-service banks are unattended and provide financial services 24 hours a day, and the safety of related equipment and customer transaction processes has always been one of the important tasks of the bank's security department. With the extensive use of ATM automatic teller ...

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): G06K9/62
Inventor 赵春水刘文金刘宝
Owner 苏州市慧视通讯科技有限公司
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com