A Training Method for Robust Recognition of Color Uniforms of Soccer Robots

نویسندگان

  • Hong LIU
  • Hongbin ZHA
  • Suoqian FENG
چکیده

A training method for robust recognition of color uniforms of soccer robots is proposed in this paper. Surface illuminative conditions of playground in competition environment are tested by training before competition. Soccer robots with different single color uniforms move on the playground along the planned trajectory, then color information of the moving robot in different positions on the playground are sampled. Color Feature Vectors are established for different fields. By feedback of the vision system, features and parameters of soccer robot vision systems are verified for robust recognition. The proposed method is implemented in the experimental environment of MiroSot games of FIRA. Automatic training method is about two times faster than manual one. Performances of recognition for soccer robots color uniforms are improved to a great extent.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Robust object Recognition Using SURF feature model applied in NAO Robot

Object recognition is one of the most important processes for robot soccer in the standard platform robot league. Main task of the vision system of robot soccer while playing is recognizing and tracking the objects like ball, goalposts, robots of the same team and rival robots in the game. The basic idea of several object recognition methods, especially in robot soccer and RoboCup environment, ...

متن کامل

Towards autonomous vision self-calibration for soccer robots

The ability to autonomously adapt to variations in the environmental conditions is a very useful feature for mobile robots. Of particular interest in robotic soccer are self-calibrating vision systems that automatically adapt to local lighting conditions. The paper presents a method for autonomous calibration of a color classificator used for color blob-based image segmentation and landmark and...

متن کامل

A Robust Omnidirectional Vision Sensor for Soccer Robots

How to make robot vision work robustly under varying lighting conditions and without the constraint of the current color-coded environment are two of the most challenging issues in the RoboCup community. In this paper, we present a robust omnidirectional vision sensor to deal with these issues for the RoboCup Middle Size League soccer robots, in which two novel algorithms are applied. The first...

متن کامل

Robust Color Segmentation Through Adaptive Color Distribution Transformation

Color segmentation is typically the first step of vision processing for a robot operating in a colorcoded environment, such as RoboCup soccer, and many object recognition modules rely on that. Although many approaches to color segmentation have been proposed, in the official games of the RoboCup Four Legged League manual calibration is still preferred by most of the teams. In this paper we pres...

متن کامل

Face Detection with methods based on color by using Artificial Neural Network

The face Detection methodsis used in order to provide security. The mentioned methods problems are that it cannot be categorized because of the great differences and varieties in the face of individuals. In this paper, face Detection methods has been presented for overcoming upon these problems based on skin color datum. The researcher gathered a face database of 30 individuals consisting of ov...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002