Head orientation and gaze direction in meetings
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Communications of the ACM
Computing 3-D head orientation from a monocular image sequence
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
A Qualitative Approach to Classifying Gaze Direction
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Tracking Focus of Attention in Meetings
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Simultaneous Tracking of Head Poses in a Panoramic View
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Absolute Head Pose Estimation From Overhead Wide-Angle Cameras
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
A Probabilistic Framework for Joint Head Tracking and Pose Estimation
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Identifying the addressee in human-human-robot interactions based on head pose and speech
Proceedings of the 6th international conference on Multimodal interfaces
Multi-View Head Pose Estimation using Neural Networks
CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Modeling focus of attention for meeting indexing based on multiple cues
IEEE Transactions on Neural Networks
Extraction of important interactions in medical interviewsusing nonverbal information
Proceedings of the 9th international conference on Multimodal interfaces
Visual Focus of Attention in Dynamic Meeting Scenarios
MLMI '08 Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction
Fast and Robust Face Tracking for Analyzing Multiparty Face-to-Face Meetings
MLMI '08 Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Computer-supported human-human multilingual communication
50 years of artificial intelligence
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In this work we present our recent approach on estimating head orientations and foci of attention of multiple people in a smart room, which is equipped with several cameras to monitor the room. In our approach, we estimate each person's head orientation with respect to the room coordinate system by using all camera views. We implemented a Neural Network to estimate head pose on every single camera view, a Bayes filter is then applied to integrate every estimate into one final, joint hypothesis. Using this scheme, we can track peoples' horizontal head orientations in a full 360° range at almost all positions within the room. The tracked head orientations are then used to determine who is looking at whom, i.e. people's focus of attention. We report experimental results on one meeting video, that was recorded in the smart room.