Shielded human face detection method

A detection method and face detection technology, which can be applied to coin-free or similar appliances, complete banking systems, and complete banking systems, etc., can solve the problems of inability to accurately detect and block faces to operate ATM machines, and achieve the accuracy rate. high effect

Active Publication Date: 2018-05-22
杭州智诺科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the invention of the present invention is to overcome the deficiency that the monitoring method in the prior art cannot accurately detect the situation of blocking a human face to operate an

Method used

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  • Shielded human face detection method

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Experimental program
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Effect test

Embodiment approach 1

[0072] Embodiment 1: The present invention can be mounted on a financial security monitoring platform. By interpreting the captured photos or videos of people who withdraw cash, an alarm will be issued for the situation of ATM machine operations that cover the face, and bank staff can remotely call out warnings to suspicious personnel. , call on-site security personnel and other safe handling.

Embodiment approach 2

[0073] Embodiment 2: The present invention can be transplanted into the embedded intelligent staging device next to the ATM machine, and through the video stream obtained on site, detect whether someone is operating the ATM machine while covering the face, and can be linked with the protective cabin control device or ATM machine control equipment, and terminate operations on suspicious persons.

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Abstract

The invention discloses a shielded human face detection method. The method comprises the following steps of establishing an image pyramid of each frame of picture; based on a human face detection dictionary obtained by training by adopting a Boosting method previously, judging whether a human face exists or not and the human face is shielded or not; performing training by using multiple human faceand non human face pictures; according to a human face local position adopted during feature extraction by each weak classifier, classifying weak classifiers; based on a weak classifier set {hi(j)} obtained after category classification, performing human face detection and abnormal human face judgment; and combining human face detection sets to obtain a human face or abnormal human face detectionresult. The method has the characteristics that whether the human face is shielded or not can be correctly judged for the situations of wearing mouth masks with different colors, wearing eye patcheswith different colors, wearing sunglasses with dark color, and the like.

Description

technical field [0001] The invention relates to the technical field of ATM machine safety protection equipment, in particular to a detection method that can quickly detect whether a human face is blocked, and a blocked human face that is blocked by the upper half of the face or the lower half of the face. Background technique [0002] All ATMs are equipped with pinhole cameras for taking pictures of people who withdraw cash, to monitor the behavior of those who operate the ATM, and to record the facial images of the people who withdraw money. In order to prevent the camera from capturing the image of his face and identify himself, criminals will deliberately cover their faces with sunglasses, masks, headscarves, etc. when operating ATMs. Therefore, covering the face to operate the ATM machine has always been the focus of bank supervision. [0003] At present, the number of ATM machines in China has reached more than 600,000, and it is still growing. ATM machines work 24 / 7....

Claims

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Application Information

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IPC IPC(8): G06K9/00G07F19/00
CPCG07F19/2055G06V40/161G06V40/172
Inventor 陈杰刘玉宇王增锹
Owner 杭州智诺科技股份有限公司
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