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

Method and system for extracting and tracking cursor point in out-of-focus video

A cursor point and video technology, applied to TV system parts, color TV parts, TV, etc., can solve the problems of missing cursor point in the middle frame, inaccurate positioning, strong dependence on image quality, etc., and achieve pattern resolution Effects with irregular shapes and low noise sensitivity

Active Publication Date: 2014-01-22
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method is very sensitive to noise and strongly dependent on image quality
Due to the occlusion problem during shooting, the cursor point will be lost in the middle frame
The pattern shape of the cursor point is often not regular enough, resulting in inaccurate positioning

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
  • Method and system for extracting and tracking cursor point in out-of-focus video
  • Method and system for extracting and tracking cursor point in out-of-focus video
  • Method and system for extracting and tracking cursor point in out-of-focus video

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0026] In order to better explain the present invention, firstly, the basic principle of gradient vector-based Hough transform is described.

[0027] The Hough transform based on the gradient vector describes the graph in another mode, which traverses the parameter space, and maps the graph point set belonging to the mode to a point in the parameter space for detection. The traditional Hough transform has a large amount of calculation and requires high memory. The Hough transform based on the gradient vector has been widely used for its low computational load.

[0028] The gradient of an image f(x,y) at (x,y) coordinates is defined as follows:

[0029] ▿ f G , G f ...

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 relates to a method and a system for extracting and tracking a cursor point in an out-of-focus video. The method comprises the following steps that a, a first frame of image of the out-of-focus video is imported; b, one or several image regions are defined in the first frame of image to be used as cursor point searching region(s), and each searching region is used as a sub image of the integral image for extracting the cursor points, and in addition, the center coordinates of the cursor point are obtained; c, a next frame of image of the out-of-focus video is imported; d, the sub images are divided from the next frame of image; e, the cursor point is extracted from each sub image, and in addition, the center coordinates of the cursor point are obtained; f, the obtained center coordinates of the cursor point are modified, and the modified center coordinates of the cursor point are output; g, the searching region is updated; h, the step c to the step g are repeated until the last frame of image is searched. The invention also relates to a system for extracting and tracking the cursor point in the out-of-focus video. The method and the system provided by the invention have the advantages that the mistake identification rate and the miss identification rate can be educed, and the data precision is improved.

Description

technical field [0001] The invention relates to a method and system for extracting and tracking a cursor point in an out-of-focus video. Background technique [0002] Computer vision is an important branch of computer science and artificial intelligence. The ultimate goal of research is to enable computers to observe and understand things through acquired images like humans. Human motion capture is a fast-growing and highly concerned frontier in the field of computer vision. It is an important technology combining computer vision and biomechanics. It is widely used in film and television special effects, animation production, game production, virtual reality, and sports training. , biomechanical analysis and other fields. [0003] Human body motion capture is the process of recovering human body posture parameters from image sequences captured by one or more cameras (the posture here refers to the movement of the torso, limbs and head, excluding small-scale movements such a...

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): H04N5/232G06T7/00
Inventor 陈滨樊建平周永进文夏清陈烨王磊
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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