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

Pick-up algorithm for video background picture

A background image and video technology, applied in computing, image enhancement, image analysis, etc., can solve problems affecting the accuracy of background images, smear phenomenon, etc.

Inactive Publication Date: 2015-03-25
TIANJIN POLYTECHNIC UNIV
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The background image extracted by these methods often has smear phenomenon, which affects the accuracy of the obtained background image

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
  • Pick-up algorithm for video background picture
  • Pick-up algorithm for video background picture
  • Pick-up algorithm for video background picture

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] The present invention will be described in detail below with reference to the drawings and examples. The scope of the present invention is not limited by these examples, and the scope of the present invention is set forth in the claims.

[0017] The present invention sorts the gray values ​​of each pixel in some frames of a video with a certain length of time, and then uses a search algorithm to find out the value with the highest frequency of occurrence for each pixel, and outputs all the pixels that meet the conditions as the gray value. The background image in the video. When the method processes the video, the amount of data required is small, and the image quality of the extracted background image is good, the smear phenomenon is reduced, and the accuracy of the image is improved.

[0018] The algorithm execution process includes the following steps:

[0019] (1) Establish a four-dimensional array to read the RGB value of each pixel in each frame of the video, wh...

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 pick-up algorithm for a background picture in a video. The gray values of the same pixel point in the video in different frames are ranked through the selection sorting method, the frame where the value of the highest occurring frequency of the gray values of each pixel point is located within a certain range is found out through the dichotomy search method, and after all the pixel points meeting the condition are found out, the picture formed by the pixel points is output, and the picture is the background picture of the video where the pixel points are located. When the video is processed through the method, the needed data volume is small, the quality of the extracted background picture is good, and the ghosting phenomenon is greatly improved.

Description

technical field [0001] The invention relates to a pixel analysis and processing technology of digital images and digital videos. Background technique [0002] In today's era, with the rapid development of information technology, multimedia information has become the most important carrier for people to obtain information, and multimedia technology has also developed rapidly. The background extraction algorithm of video images has a wide range of applications in the fields of image processing and computer vision, and is also a key technology in computer vision and multimedia applications. So far, many background detection methods have been proposed at home and abroad. There are three types of commonly used background extraction methods: manual acquisition, statistical methods, and background image acquisition using background update algorithms. The method of manual acquisition needs to use a camera to shoot when no foreground object is observed, which requires a lot of manpo...

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): G06T7/00
CPCG06T7/70G06T2207/10016
Inventor 陈科王宇凡
Owner TIANJIN POLYTECHNIC UNIV
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