We present a video recognition system of a “Go” TV program. It generates a Go play record automatically from a broadcast of Go played by human professionals. “Go” is the ancient Asian board game played between two player, which is similar to Chess and Shogi. For an MPEG2 video of a TV Go program, the system distinguishes play or commentary board shots from other types of shots such as player’s shots, and detects Go stones placed on the board from board shots. The system removes several types of noise such as a player’s head or hand. In addition, it also detects Go stone from commentary board shots which are often inserted between play board shots, and compensates for the order of Go stones placed on the play board during commentary board shots. In the experimental results for eight TV Go program the system have achieved the 95.7% precision and the 95.7% recall rate.
K. Yanai, T. Hayashiyama