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Technical Program
Paper Detail
| Paper: | WP-P5.6 |
| Session: | Image/Video Storage and Retrieval |
| Time: | Wednesday, October 11, 14:20 - 17:00 |
| Presentation: |
Poster
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| Title: |
CALIBRATING HEAD POSE ESTIMATION IN VIDEOS FOR MEETING ROOM EVENT ANALYSIS |
| 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. |
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