Participant activity detection by hands and face movement tracking in the meeting room

We present a collection of methods for an evaluation of participants' activity in the meeting. The techniques of skin color detection, segmentation, feature extraction, and tracking detected objects and their identification are included. Our aim is to extract information from participant hands and face movement suitable for intelligent video editing and as additional information for speech recognition