Title :
Face detection and attentional frames for visually mediated interaction
Author :
Howell, A. Jonathan ; Buxton, Hilary
Author_Institution :
Sch. of Cognitive & Comput. Sci., Sussex Univ., Brighton, UK
Abstract :
Introduces a set of effective computational techniques for understanding the visual aspects of human interaction, which could be used, for example, in videoconferencing applications. First, we present methods for face detection and the capture of attentional frames to focus the processing for visually mediated interaction. Second, we present methods for recognising the various gesture phases that can be used to control the camera systems in the integrated system. Finally, we discuss how these techniques can be extended to “virtual groups” of multiple people interacting at multiple sites
Keywords :
face recognition; gesture recognition; teleconferencing; attentional frames capture; camera system control; computational techniques; face detection; gesture phase recognition; human interaction; integrated system; interacting people; multiple sites; videoconferencing applications; virtual groups; visually mediated interaction; Application software; Cameras; Computer vision; Control systems; Face detection; Face recognition; Humans; Layout; Recurrent neural networks; Tracking;
Conference_Titel :
Human Motion, 2000. Proceedings. Workshop on
Conference_Location :
Los Alamitos, CA
Print_ISBN :
0-7695-0939-8
DOI :
10.1109/HUMO.2000.897384