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
Tracking the multi person wandering visual focus of attention
Proceedings of the 8th international conference on Multimodal interfaces
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Machine Graphics & Vision International Journal
Person-independent head pose estimation using biased manifold embedding
EURASIP Journal on Advances in Signal Processing
Head pose tracking and gesture detection using block motion vectors on mobile devices
Mobility '07 Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology
Learning a Person-Independent Representation for Precise 3D Pose Estimation
Multimodal Technologies for Perception of Humans
Locating nose-tips and estimating head poses in images by tensorposes
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Recognizing visual focus of attention from head pose in natural meetings
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Synchronized submanifold embedding for person-independent pose estimation and beyond
IEEE Transactions on Image Processing
Head pose tracking and focus of attention recognition algorithms in meeting rooms
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
Cluster-based distributed face tracking in camera networks
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
Robust head pose estimation using supervised manifold learning
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Estimating human body and head orientation change to detect visual attention direction
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
A study on visual focus of attention recognition from head pose in a meeting room
MLMI'06 Proceedings of the Third international conference on Machine Learning for Multimodal Interaction
Vector quantization segmentation for head pose estimation
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
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For many practical applications, it is sufficient to estimate coarse head infer gaze direction.Indeed for any application in which the camera is situated unobstrusively in an overhead corner, the only possible inference is coarse pose because of the limitations of the quality and resolution of the incoming data.However, the vast majority of research in head pose estimation deals with tracking full rigid body motion (6 degrees of freedom) for a limited range of motion (typically +/-45 degrees out-of-plane) and relatively high resolution data (usally 64x64 or more.) In this paper, we review the smaller body of research on coarse pose estimation.This work involves image-based learning, estimation of a wide range of pose, and is capable of real-time performance for low-resolution imagery.We evaluate two coarse pose estimation schemes, based on (1) a probabilstic model approach and (2) a neural network approach.We compare the results of the two techniques for varying resolution, head localization accuracy and required pose accuracy.We conclude with details for the implementation specifications for resolution and localization accuracy depending on system accuracy requirements.