ICIP 2006, Atlanta, GA

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Paper Detail

Session:Image/Video Storage and Retrieval
Time:Wednesday, October 11, 14:20 - 17:00
Presentation: Poster
Topic: Image & Video Storage and Retrieval: Video features extraction for retrieval
Authors: Jilin Tu; University of Illinois at Urbana-Champaign 
 Thomas Huang; University of Illinois at Urbana-Champaign 
 Yingen Xiong; Virginia Polytechnic Institute and State University 
 Travis Rose; Virginia Polytechnic Institute and State University 
 Francis Quek; Virginia Polytechnic Institute and State University 
Abstract: In this paper, we study the calibration of head pose estimation in stereo camera setting for meeting room video event analysis. Head pose information infers the direction of attention of the subjects in video, therefore is valuable for video event analysis/indexing, especially in meeting room scenario. We are developing a multi-modal meeting room data analyzing system for studying meeting room interaction dynamics, in which head pose estimation is one of the key components. As each subject in the meeting room can be observed by a pair of stereo cameras, we do 2D head tracking for the subject in each camera, and the 3D coordinate of the head can be obtained by triangulation. The 3D head pose is estimated in one of the camera coordinate system, we propose a procedure to convert the 3D pose in the camera coordinate system to that in the world coordinate system. In the experiment, visualization of the estimated head pose and location in world coordinate system verifies the soundness of our design.