This paper designs a structure of 3D convolutional neural network to detect the global exam events in invigilation videos. Exam events in invigilation videos are defined according to the human activity performed at a certain phase in the entire exam process. Unlike general event detection which involves different scenes, global event detection focuses on differentiating different collective activities in the exam room ambiance. The challenges lie in the great intra-class variations within the same type of events due to various camera angles and...
