Goal events are important in automatic analysis of broadcast sports game videos, but previous approaches rely on visual or audio information which are hard to obtain. In this paper, we use superimposed texts to detect goals (both the occurrences of goal events and their types) for broadcast basketball video, and we propose a transition pattern based approach for both text extraction and goal detection. Our approach is lightweight and effectively handles main challenges in extracting superimposed texts: complex background, low-resolution and blur of the texts, which made standard localization a...
