This paper presents an online learning algorithm for appearancebased gaze estimation that allows free head movement in a casual desktop environment. Our method avoids the lengthy calibration stage using an incremental learning approach. Our system keeps running as a background process on the desktop PC and continuously updates the estimation parameters by taking user’s operations on the PC moni...

Driver distraction is an important issue in developing new generation of telematic systems. Our research is focused on development of novel machine vision systems, which can provide better understanding of the state of the driver and driving conditions. In this paper we discuss in detail on the development of a system which allows simultaneous capture of the driver's head pose and driving view....

Our research is focused on the development of novel machine vision based telematic systems, which provide non-intrusive probing of the state of the driver and driving conditions. In this paper we present a system which allows simultaneous capture of the driver's head pose, driving view, and surroundings of the vehicle. The integrated machine vision system utilizes a video stream of full 360 deg...

Estimating the pose of an object, be it articulated, deformable or rigid, is an important task, with applications ranging from HumanComputer Interaction to environmental understanding. The idea of a general pose estimation framework, capable of being rapidly retrained to suit a variety of tasks, is appealing. In this paper a solution is proposed requiring only a set of labelled training images ...

We propose a novel pose-invariant face recognition system using a manifold representation for human faces with pose variations (linear PCMAP model) as the entry format for a database of known persons. The model's generalization capability for unknown head poses enables a continuous coverage of the pose parameter space, providing high approximation accuracy for pose estimation (analysis) and tra...

In this contribution we extend existing methods for head pose estimation and investigate the use of local image phase for gaze detection. Moreover we describe how a small database of face images with given ground truth for head pose and gaze direction was acquired. With this database we compare two different computational approaches for extracting the head pose. We demonstrate that a simple imp...

Head pose estimation is a crucial problem for many tasks, such as driver attention, fatigue detection, and human behaviour analysis. It well known that neural networks are better at handling classification problems than regression problems. an extremely nonlinear process to let the network output angle value directly optimization learning, weight constraint of loss function will be relatively w...

Most surveillance cameras have a wide-angle field of view and are situated unobtrusively in overhead positions. For this type of application, head pose estimation is very challenging because of the limitations of the quality and resolution of the incoming data. In addition, as a person moves, their pose relative to the camera changes, but the desired pose is the absolute pose with respect to th...

In this paper, we describe a high speed and multi degree of freedoms (DOFs) pose estimation method for a 3-D object that called Estimation-by-Completion (EbC) method. The most of employed processes are described with linear calculation, thus, whole procedure for each parameter estimation is expressed by a pair inner production, and it used only an arctangent calculation at the final part of the...