Digital image processing algorithms
Digital image processing algorithms
3-D Facial Pose and Gaze Point Estimation Using a Robust Real-Time Tracking Paradigm
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
3D Head Pose Estimation without Feature Tracking
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
A perceptual user interface for recognizing head gesture acknowledgements
Proceedings of the 2001 workshop on Perceptive user interfaces
A real-time head nod and shake detector
Proceedings of the 2001 workshop on Perceptive user interfaces
Spatiotemporal-boosted DCT features for head and face gesture analysis
HBU'10 Proceedings of the First international conference on Human behavior understanding
Robust classification of face and head gestures in video
Image and Vision Computing
Enhanced gaze interaction using simple head gestures
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
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This paper discusses a technique of detecting a head nod and shake. The proposed system is composed of face detection, eye detection and head nod and head shake detection. We use motion segmentation algorithm that makes use of differencing to detect moving people's faces. The novelty of this paper comes from the differencing in real time input images, preprocessing to remove noises (morphological operator and so on), detecting edge lines and restoration, finding the face area and cutting the head candidate. Moreover, we adopt K-means algorithm for finding head. Eye detection extracts the location of eyes from the detected face region. It is performed at the region close to a pair of eyes for real-time eye detecting. Head nod and shake can be detected by HMMs those are adapted by a directional vector. The HMMs vector can also be used to determine neutral as well as head nod and head shake. These techniques are implemented on a lot of images and a notable success is notified.