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

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

Active Publication Date: 2016-08-10
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • 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

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  • 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

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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 ...

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Abstract

The invention relates to a method for extracting and tracking a cursor point in an out-of-focus video, comprising the following steps: a. Importing the first frame image of the out-of-focus video; b. Delimiting one or more in the first frame image The image area is used as the search area of ​​the cursor point, and each search area is used as a sub-image of the overall image to extract the cursor point and obtain the center coordinates of the cursor point; c. import the next frame image of the out-of-focus video; d. in the next frame Segment sub-images in the image; e. extract the cursor point in each sub-image, and obtain the center coordinates of the cursor point; f. correct the above-mentioned obtained cursor point center coordinates, and output the corrected cursor point center coordinates g. Update the search area; h. Repeat step c to step g until the last frame of image. The invention also relates to a system for extracting and tracking a cursor point in an out-of-focus video. The invention can reduce the false recognition rate and missed recognition rate, and improve the accuracy of data.

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

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Application Information

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Patent Type & Authority Patents(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
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