We propose an efficient and accurate head orientation estimation algorithm using a
monocular camera. Our approach is leveraged by deep neural network and we exploit the …

Conventional head pose estimation methods are regarded as a classification or regression
paradigm, individually. The accuracy of classification-based approaches is limited to pose …

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 …

Driver inattention is one of the main causes of traffic accidents. To avoid such accidents,
advanced driver assistance system that passively monitors the driver's activities is needed …

Human face image analysis using machine learning is an important element in computer
vision. The human face image conveys information such as age, gender, identity, emotion …

Over the last decade, a driver's distraction has gained popularity due to its increased
significance and high impact on road accidents. Various factors, such as mood disorder …

In this paper, we consider the problem of estimating the gaze direction of a person from a
low-resolution image. Under this condition, reliably extracting facial features is very difficult …

In this paper, we consider the problem of estimating the head pose and body orientation of a
person from a low-resolution image. Under this setting, it is difficult to reliably extract facial …

Head yaw angle is an important indicator of a driver's distraction. Forward collision warning
systems incorporate head yaw angle estimators for detecting driver's head-off-road glances …

This paper addresses the problem of head pose estimation in order to infer non-intrusive
feedback from users about gaze attention. The proposed approach exploits the bilateral …