Title :
Chess move tracking using overhead RGB webcam
Author :
Wang, Vivien ; Green, Ron
Author_Institution :
Comput. Sci., Univ. of Canterbury, Christchurch, New Zealand
Abstract :
This paper proposes a real-time application for detecting the moves of a chess game given a video stream from a camera positioned over the board. A custom implementation based on square identification of flood filled regions is used to detect colored chessboards in arbitrary backgrounds. The detected board is transformed to a normalized image, and occupancy of the chessboard is determined by classifying the pixels within each square of the 8×8 grid to check for a piece of a given color. A move is recognized when the current occupancy grid matches the chessboard that results from one of the possible moves from the previous occupancy grid. These moves and occupancy grids are supplied by a chess engine. A simple motion detection method is used to avoid processing frames in which a player is obscuring any part of the board. It uses hysteretic n-frame thresholding of difference images.
Keywords :
computer games; image sensors; motion estimation; object tracking; video streaming; camera; chess game; chess move tracking; chessboard color detection; grid matches; motion detection method; overhead RGB Webcam; real-time application; square identification; video stream; Cameras; Floods; Games; Image color analysis; Lighting; Robots; Robustness; flood fill square detection; n-frame hysteretic motion filter; real-time chess move detection;
Conference_Titel :
Image and Vision Computing New Zealand (IVCNZ), 2013 28th International Conference of
Conference_Location :
Wellington
Print_ISBN :
978-1-4799-0882-0
DOI :
10.1109/IVCNZ.2013.6727033