Head pose is an important cue in computer vision when using facial information. Over the
last three decades, methods for head pose estimation have received increasing attention …

Automated human pose estimation is evolving as an exciting research area in human
activity detection. It includes sophisticated applications such as malpractice detection in the …

During the last decade, there has been an increasing interest in developing Head-Pose
Estimation (HPE) methods for different applications. Among these, there is the possibility to …

In recent times, with the advancement of digital imaging, automatic facial recognition has
been intensively studied for adults, while less for neonates. Due to the miniature facial …

Head pose estimation (HPE) is currently a growing research field, mainly because of the
proliferation of human–computer interfaces (HCI) in the last decade. It offers a wide variety of …

With many practical applications in human life, including manufacturing surveillance
cameras, analyzing and processing customer behavior, many researchers are noticing face …

Head pose estimation methods can be generally classified into two categories: model-based
and appearance-based methods. The model-based approach relies on facial landmarks for …

We introduce a novel fusion framework for real-time head pose estimation using a tailored
Kalman Filter. This approach estimates the pose from intensity images in monocular video …

The head-up rate is an important indicator to evaluate the quality of classroom teaching,
which can reflect the students' class status in time. With the continuous development of …

This paper presents a novel head pose estimation technique based on face-geometry. The
approach involves performing nose detection and threshold-based segmentation over near …