Despite active research and significant progress in the last 30 years, eye detection and
tracking remains challenging due to the individuality of eyes, occlusion, variability in scale …

Face detection, which is an effortless task for humans, is complex to perform on machines.
The recent veer proliferation of computational resources is paving the way for frantic …

Two channels have been distinguished in human interaction: one transmits explicit
messages, which may be about anything or nothing; the other transmits implicit messages …

Images containing faces are essential to intelligent vision-based human-computer
interaction, and research efforts in face processing include face recognition, face tracking …

This paper presents a general, trainable system for object detection in unconstrained,
cluttered scenes. The system derives much of its power from a representation that describes …

In this paper we present a comprehensive and critical survey of face detection algorithms.
Face detection is a necessary first-step in face recognition systems, with the purpose of …

We consider tracking as a binary classification problem, where an ensemble of weak
classifiers is trained online to distinguish between the object and the background. The …

Tracking drivers' eyes and gazes is a topic of great interest in the research of advanced
driving assistance systems (ADAS). It is especially a matter of serious discussion among the …

We investigate whether dimensionality reduction using a latent generative model is
beneficial for the task of weakly supervised scene classification. In detail, we are given a set …

A technique for 3D head tracking under varying illumination is proposed. The head is
modeled as a texture mapped cylinder. Tracking is formulated as an image registration …