This paper presents an algorithm for the classification of head pose in low resolution video. Invariance to skin, hair and background colours is achieved by classifying using an ensemble of randomised ferns which have been trained on labelled images. The ferns are used to simultaneously classify the head pose and to identify the most likely hypothesis for the mapping between colours and labels....

In virtual environments, head pose and/or eye-gaze estimation can be employed to improve the visual experience of the user by enabling adaptive level of detail during rendering. In this study, we present a real-time system for rendering complex scenes in an immersive virtual environment based on head pose estimation and perceptual level of detail. In our system, the position and orientation of ...

Analysis of driver’s head behavior is an integral part of driver monitoring system. In particular, head pose and dynamics are strong indicators of driver’s focus of attention. In this paper, we present a distributed camera framework for head pose estimation with emphasis on the ability to operate reliably and continuously. To evaluate the proposed framework, we collected a novel head pose datas...

Head pose estimation is an important problem as it facilitates tasks such gaze and attention modeling. In the automotive context, head provides crucial information about driver’s mental state, including drowsiness, distraction attention. It can also be used for interaction with in-vehicle infotainment systems. While computer vision algorithms using RGB cameras are reliable in controlled environ...

In autonomous, as well manually operated vehicles, monitoring the driver visual attention provides useful information about behavior, intent and vigilance level of driver. The gaze can be formulated in terms a probabilistic map representing region around which driver’s is focused. area estimated changes based on confidence estimation. This paper proposes framework convolutional neural networks ...

Abstract Head pose estimation represents an important computer vision technique in different contexts where image acquisition cannot be controlled by operator, making face recognition of unknown subjects more accurate and efficient. In this work, starting from partitioned iterated function systems to identify the pose, regression models are adopted predict angular value errors (yaw, pitch roll ...

We present a new system for the automatic determination of the position , size and pose of the head of a human gure in a camera image. The system is an extension of the well{known face recognition system WFK] to pose estimation. The pose estimation system is characterized by a certain reliability and speed. We improve this performance and speed with the help of statistical estimation methods. I...

Head Tracking systems with head pose estimation have several applications in human-computer interaction and constitute a key component of 3D audio environments. Most developed systems to date are restricted to a range of poses in which the user has to be facing the camera, are sensible to the lightning conditions and are not identity-invariant. These constrains make these approaches not very ap...