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Gaze estimation is one of the recent popular research topics in the domain of computer science/ engineering for vision-based human-computer-interaction. It has huge potential for application in assessment of physical condition of drivers while driving, controlling robots and prosthetics, surveillance etc. For successful gaze estimation the eyes have to be detected perfectly and this will lead to efficient...
A human being accumulates the majority of the surrounding impressions through vision. With the ability to track and observe a user's gaze, it is possible to obtain deep insights into the person's attention and, based on the gathered information, understand his or hers behavior and actions. In this paper we present an improved Multi-Camera 3D Eye Tracking framework for human-computer interface based...
This paper presents a framework for determining the direction of human gaze with an active multi-camera system. A fixed 3D depth sensor is employed in order to determine the position of the human face in 3D space and its features, like the eyes. Then an active pan-tilt camera is oriented to one of the user's eyes and this way a high precision gaze direction determination is accomplished.
In practical applications of gaze tracking systems, because the glasses and accessories often degrade the accuracy of eye detection and gaze tracking, the pre-processing to eliminate these factors is extremely essential for gaze tracking systems. In this paper, a gray difference-based pre-processing scheme is proposed, which utilizes the gray difference between the face, pupils and reflecting points...
The ability to capture the direction the eyes point in while the subject is a distance away from the camera offers the potential for intuitive human-computer interfaces, allowing for a greater interactivity, more intelligent HCI behavior, and increased flexibility. In this paper, we present a two-camera system that detects the face from a fixed, wide-angle camera, estimates a rough location for the...
Natural human-robot interaction requires leveraging viewing direction information in order to recognize, respond to, and even emulate human behavior. Knowledge of the eye gaze and point of regard gives us insight into what the subject is interested in and/or who the subject is addressing. In this paper, we present a novel eye gaze estimation approach for point-of-regard (PoG) tracking. To allow for...
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