We present a random forest-based framework for real time head pose estimation from depth
images and extend it to localize a set of facial features in 3D. Our algorithm takes a voting …

Human pose estimation has been actively studied for decades. While traditional approaches
rely on 2d data like images or videos, the development of Time-of-Flight cameras and other …

Emotional health plays very vital role to improve people's quality of lives, especially for the
elderly. Negative emotional states can lead to social or mental health problems. To cope …

Head pose monitoring is an important task for driver assistance systems, since it is a key
indicator for human attention and behavior. However, current head pose datasets either lack …

In recent years, human activity recognition from video has been getting considerable
research attentions by computer vision researchers due to its prominent applications in …

In this paper we describe a novel algorithm for head pose estimation from low-quality RGB-
D data acquired using a consumer-level device such as Microsoft Kinect. We focus our …

Real-time and reliable head pose tracking is the basis of human–computer interaction and
face analysis applications. Aiming at the problems of accuracy and real time performance in …

Most automatic face recognition algorithms try to normalize facial images in order to remove
variations caused by anything but the identity of the person. Lighting conditions being less …

We address the challenge of designing predictable real-time systems in an unpredictable
thermal environment where environmental temperature may dynamically change (eg …

Nowadays, individuals are experiencing an era characterized by a pandemic situation.
Given the challenging circumstances face these days, it is imperative to develop a real-time …