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

Automatic face-recognizing digital video system

A digital video and face technology, applied in character and pattern recognition, program loading/starting, instruments, etc., can solve problems that are not practical

Inactive Publication Date: 2003-03-19
昆明利普机器视觉工程有限公司
View PDF0 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The research on face recognition began in the late 1960s [1], and became a scientific research hotspot in the 1990s. At present, face recognition is mostly a research topic, and it is not an active topic in the field of 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
  • Automatic face-recognizing digital video system
  • Automatic face-recognizing digital video system
  • Automatic face-recognizing digital video system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0080] Below in conjunction with accompanying drawing and take dynamic (pedestrian) face image recognition as example the present invention is described in further detail:

[0081] The hardware of the digital video dynamic automatic face recognition system consists of a video input device (1), an image acquisition card (2), a parallel processor (3) and a display screen (4). The video input device (1) can be a scanner, a digital camera, or a standard rate, non-standard rate, line array, area array video analog or digital camera, laser, X-ray machine, sonar, or a standard device that can acquire images . The image acquisition card (2) is a standard analog or digital image acquisition card, and can also be a digital video camera with a USB interface or a video editing card that can perform data exchange with the parallel processor (3) memory. On the PCI, ISA or corresponding standard structure bus of the parallel processor (3). The parallel processor (3) is a main control devic...

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 relates to automatic human face-recognizing digital video system and belongs to the machine vision technology product. The system hardware consists of video input device, image acquiring card, parallel processor and display screen. The software consists of image acquiring module, cutting module, pre-treatment module, recognition module, parallel processing module, data storing and polling module, display module, alarm module and remote trnamission module. The system adopts the recognition method with implicit Markovian model to recognize static and dynamic face. The present invention can display face image intuitively while automatic recognition. It can be used in the plases which need to recognize human faces automatically.

Description

Technical field: [0001] The invention relates to a digital video face automatic recognition system, which belongs to a technical product in the field of machine vision. Background technique: [0002] Machine vision face recognition technology is a very challenging technology that uses machine vision to analyze face images and extract effective identification information to identify identities. Face recognition research involves machine vision, pattern recognition, neural network, physiology, anatomy, cognitive science and other disciplines. The research on face recognition began in the late 1960s [1], and became a scientific research hotspot in the 1990s. At present, face recognition is mostly a research topic, and it is not an active topic in the field of practical application. Face recognition is very difficult, mainly due to the rich facial expressions that change with age, the face image is affected by light, imaging angle and imaging distance, and the smooth transition...

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
Inventor 李一民潘晓露罗瑜
Owner 昆明利普机器视觉工程有限公司
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