Visual quick identifying method for football robot

A football robot and recognition method technology, applied in character and pattern recognition, instruments, computer components, etc., can solve problems affecting recognition speed, inaccurate robot position, robot position deviation, etc., and achieve fast search speed and high recognition accuracy , the effect of strong environmental adaptability

Inactive Publication Date: 2006-01-04
SHANGHAI UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

[0006] 1. At present, the color model used by most image recognition technologies is the red, green and blue RGB color space. With different light intensities, the same color will also change after being captured by the camera and image card. The RGB model is easily affected by the light source. The system cannot adapt to changes caused by the environment
[0007] 2. The wide-angle lens of the camera will produce barrel distortion, and the height difference b...

Method used

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  • Visual quick identifying method for football robot
  • Visual quick identifying method for football robot
  • Visual quick identifying method for football robot

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Embodiment Construction

[0059] A preferred example of the present invention is described in detail as follows in conjunction with accompanying drawing:

[0060] The football robot vision fast recognition method is implemented in the form of software, and it must be based on a series of hardware foundations. Its basic hardware equipment is a camera and a video capture card. The camera is installed above the field, and the shooting range must completely cover the field. The video capture card is installed on the workstation (it can be a PC), its input is connected to the output of the camera, and the output of the video capture card is digital image data. The present invention is to process and identify these data.

[0061] The program is realized by VC++MFC to determine the position of the goal and the sideline, and provide real-time data on the position, direction, speed and acceleration of the players on the field and the position of the ball.

[0062] The workflow of this visual recognition metho...

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Abstract

The quick visual identifying method for football robot includes installing video camera over the football court to obtain shooting range covering the whole court; installing the video acquisition card in the workstation, connecting the input of the video acquisition card to the output of the video camera to output digital image data, and processing the digital image data in computer, so as to determine the goal and sideline position data, provide the real-time positions, directions, speeds and accelerations of the players in the court and the position data of the ball. The VC++MFC program includes the steps of: target characteristic extraction and correction parameter setting; image pre-treatment; target identification; and correction treatment. The identifying method of the present invention has the features of high search speed, high identifying precision, high environment adaptability, etc.

Description

technical field [0001] The invention is aimed at digital image processing and recognition when a robot plays a football game. Involves real-time software programming, digital signal processing, computer science and engineering optics and other fields. Background technique [0002] Robot soccer was formally proposed in 1992 by Professor Alan Mackworth of the University of British Columbia in Canada. This technology and entertainment project emerged in the 1990s and became popular in developed regions such as Europe, America and Japan. [0003] The most important purpose of the Robot Soccer Game is to test the cutting-edge research of artificial intelligence, especially the latest results of multi-agent system research, which can be transformed and applied to other industrial or civilian robots. It can be said that the football robot can be used as a standard platform for researching all robots and artificial intelligence. In addition, football itself is a very entertaining...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/80
Inventor 陈万米魏延钦蒋征波张冰费敏锐郭梦琦夏冰玉
Owner SHANGHAI UNIV
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