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

Heartbeat signal-based remote face recognition method, apparatus and system

A heartbeat signal and face recognition technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of not being able to quickly locate and capture the face area, and cannot guarantee the output of a clear face image, so as to improve human Face recognition rate, improvement of recognition rate and practicability, and the effect of improving system performance

Active Publication Date: 2017-06-27
SANITARY EQUIP INST ACAD OF MILITARY MEDICAL SCI PLA
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to provide a remote face recognition method, device and system combined with a heartbeat signal, aiming to solve the problem that the existing remote face recognition technology cannot guarantee the output of a clear face image in the remote face recognition scene problem, and the problem of not being able to quickly locate and capture the face area

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
  • Heartbeat signal-based remote face recognition method, apparatus and system
  • Heartbeat signal-based remote face recognition method, apparatus and system
  • Heartbeat signal-based remote face recognition method, apparatus and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] see figure 1 , figure 1 It shows the flow of the remote face recognition method combined with the heartbeat signal provided by the embodiment of the present invention, and the process of the method is described in detail as follows:

[0047] In step S101, images in the monitoring area are collected, pedestrian images are extracted from the collected images and the spatial position of pedestrians is determined. The specific steps include in the embodiment of the present invention: using multi-scale sliding window method to extract Blocks in the sliding window, analyze the directional gradient histogram features of the blocks in the sliding window, use the support vector machine to analyze the directional gradient histogram features to obtain the pedestrian detection window, extract the pedestrian image in the pedestrian detection window, and obtain the spatial position of the pedestrian;

[0048] In step S102, according to the spatial position of the pedestrian, the opt...

Embodiment 2

[0054] see figure 2 , figure 2 The composition structure of the remote face recognition device combined with the heartbeat signal provided by the embodiment is shown, and only the parts related to the embodiment of the present invention are shown.

[0055] The remote face recognition device combined with the heartbeat signal may be a software unit, a hardware unit or a software and hardware unit running in each application system.

[0056] The remote face recognition device combined with heartbeat signals includes a pedestrian position acquisition unit 201 , a heartbeat signal sensing unit 202 , a face coordinate positioning unit 203 and a face image acquisition unit 204 . Among them, the specific functions of each unit are as follows:

[0057] Pedestrian position collection unit 201 collects images in the monitoring area, extracts pedestrian images and determines pedestrian spatial positions from the collected images, and its specific devices include: wide field of view c...

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 present invention provides a heartbeat signal-based remote face recognition method, a heartbeat signal-based remote face recognition apparatus and a system. The method includes the following steps that: an image in a monitoring area is acquired, a pedestrian image is extracted from the acquired image, and a pedestrian space position is determined from the acquired image; an optical vibration imaging technology is utilized to obtain the space position of pedestrian heartbeat signals according to the pedestrian space position; the face space position of a pedestrian is positioned according to the natural position relation of heartbeat signals and a face; and an acquired area is adjusted to a face area according to the face space position, and a clear face image can be acquired. According to the heartbeat signal-based remote face recognition method of the invention, the space position of the heartbeat signals is utilized, so that the space position of the face can be calculated fast, the face area can be positioned fast, and the high-resolution face image can be obtained, and the recognition rate and practicability of a remote face recognition system can be improved.

Description

technical field [0001] The invention belongs to the field of biological feature recognition, and in particular relates to a remote face recognition method, device and system combined with a heartbeat signal. Background technique [0002] Face recognition refers to a technology that uses the stable features of the human face for identity authentication. As a typical biological feature, the human face is unique from other people and stable for a certain period of time. Compared with traditional identity authentication methods (ID card / passport / key / password, etc.), biometric features will not be lost, not easy to forge and counterfeit, and available at any time, which is an ideal identity authentication carrier. [0003] At the same time, face recognition is a non-invasive, convenient and friendly biometric identification method. According to the distance from the camera to the user, it can be divided into short-range face recognition and long-range face recognition technolog...

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): G06K9/00
CPCG06V40/166G06V40/168G06V20/52
Inventor 苏卫华安慰宁吴航刘保真秦晓丽苑英海陈卓
Owner SANITARY EQUIP INST ACAD OF MILITARY MEDICAL SCI PLA
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