Human game observers are a vital part of the Esports industry. They use extensive domain knowledge to decide what to show to the spectators. However, they may miss important events, necessitating the need for automatic observers. Researchers from South Korea have recently proposed a framework that utilises an object detection method, Mask R-CNN, and human observational data to find the ‘Region of Common Interest’ in StarCraft—a real-time strategy game.
Esports, already a billion-dollar industry, is growing, partly because of human game observers. They control the camera movement and show spectators the most engaging portions of the game screen. However, these observers might miss significant events occurring concurrently across multiple screens. They are also difficult to afford in small tournaments. Consequently, the demand for…
