Hand-Raising Gesture Detection with Lienhart-Maydt Method in Videoconference and Distance Learning

摘要

In video-conference and distance learning videos, the moment that someone makes a hand-raising gesture is relevant to be included in the video annotation. However, gesture recognition can be challenging in such scenarios. We propose a system to detect faces, the hand-raising gesture and annotate the video. The Lienhart-Maydt object detection method is used, in which each frame is classified. Then, the gesture is detected by analyzing intervals of frames. Our approach was tested in videos with several characteristics. The results show that our method can deal with illumination and background variations, is able to detect multiple gestures and it is robust to confusing gestures. Besides it allow the use of moving cameras.