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

Fuzzy video person identifying method

A technology of people and people in video, applied in the field of people identification, can solve the problem of not being able to distinguish the identity of people in fuzzy images, and achieve the effect of improving timeliness

Inactive Publication Date: 2015-07-22
北京丰华联合科技有限公司
View PDF10 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention aims at the deficiencies of the prior art, and proposes a method for identifying persons from blurred videos, which effectively solves the technical defect that the prior art cannot distinguish the identity of persons in blurred images

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] A method for identifying people from fuzzy videos according to the present invention is to form optimal whole-body image information by extracting faces and other body feature information at different places and times, and then use the whole-body image information to match real and credible people The image information registry is compared to confirm the identity of the person. At the same time, by using the technical solution described in the present invention, through the optimization of the database and the adjustment of the comparison method, several non-face characteristic information that may be carried by the target task, such as clothing color, skin color, location and time information, etc. , the identity of the target task can be determined.

[0023] The specific implementation process of the described method for identifying people from blurred videos is as follows: establishing a registration database of personnel image information, the registration database ...

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

A fuzzy video person identifying method includes extracting face and other human body characteristic information of different places and times to form optimal whole body image information, and identifying the identity of a person by comparing the whole body image information with an authentic image information registration database. Compared with the prior art, according to the technical scheme, the method has the advantages that the technical defects of the prior art that the persons cannot be identified in fuzzy videos are solved, and the timeliness of identification is improved by optimizing the database; in addition, according to the information that a target person appears in the video possibly, the fuzzy retrieval and identification can be performed.

Description

technical field [0001] The invention belongs to the field of face recognition, in particular to a method for person recognition from very blurred videos. Background technique [0002] Face recognition is not only a research hotspot in the field of artificial intelligence, but also has important practical significance in the field of public security. [0003] With the continuous development of technology, video surveillance equipment is generally installed in public places to monitor public safety. In the current video surveillance field, traditional cameras are gradually being replaced by a new generation of embedded network cameras. Compared with traditional cameras, network cameras can convert analog video signals into digital video signals, and realize remote monitoring through the network. For face recognition, video surveillance uses some features of the face, such as facial features, to recognize the face. [0004] In some cases, affected by factors such as light, e...

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): G06K9/00G06K9/46
Inventor 曾定衡张远宁王力国钟汇才
Owner 北京丰华联合科技有限公司
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