Face detection and recognition is a vibrant area of biometrics with active research and commercial efforts over the last 20 years. The task of face detection is to search faces in images, reporting their positions by a bounding box. Recent studies [19, 31] have shown that face detection has already been a state-of-the-art technology in both accuracy and speed. However, face detection is not suf...

Eye gaze detection under challenging lighting conditions is a non-trivial task. Pixel intensity and the shades around the eye region may change depending on the time of day, location, or due to artificial lighting. This paper introduces a lighting-adaptive solution for robust eye gaze detection. First, we propose a binarization and cropping technique to limit our region of interest. Then we dev...

In this paper, we present a novel approach to deal with the problem of detecting whether the eyes in a given still face image are closed, which has wide potential applications in human–computer interface design, facial expression recognition, driver fatigue detection, and so on. The approach combines the strength of multiple feature sets to characterize the rich information of eye patches (conc...

Eye detection and tracking can be used in intelligent human-computer interfaces, driver drowsiness detection, security, and biology systems. In this paper a new method for eye detection based on some new rectangle features is proposed, with these features the Adaboost cascade classifiers are trained for eye detection. Then with the characteristics of symmetry of the eyes some of the geometric c...

In the attempt to recognize and estimate human internal states, such as varying emotions, psychological and conceptual conflicts pose interesting and challenging issues. In this paper, we explore a pattern recognition technique that can detect a state of confusion and can estimate human interest, each an internal state of mind. In order to automatically detect a state of confusion from the obje...

Depressive disorders are a leading cause of morbility and disability in the working population worldwide. Psychiatric assessment treatment depressive may be improved by using objective behavioral physiological biomarkers. In this work we present psychiatry telemedicine platform where two important biomarkers depression, eye-blinking rate heart variability, computed from video stream shown to cl...

Abstract Recently, digital face manipulation and its detection have sparked large interest in industry academia around the world. Numerous approaches been proposed literature to create realistic manipulations, such as DeepFakes morphs. To human eye manipulated images videos can be almost indistinguishable from real content. Although impressive progress has reported automatic of this research fi...

Driver fatigue detection plays an important role in intelligent transportation systems for driving safety. Therefore, it becomes an essential research issue these years. Recently, Horng and Chen proposed a real-time driver fatigue detection system based on eye tracking and dynamic template matching. In their work, the driver fatigue detection system consists of four parts: face detection, eye d...

Implicit or automatic detection of social signals, which discriminate animate, intentional objects in the environment, is essential for higher social cognition and its development. Using functional magnetic resonance imaging, we identified the neural substrate of detecting simple visual social signals and examined its functional link with the mechanism of inferring another's mental state. Healt...

To detect and track eye images, distinctive features of user eye are used. Generally, an eye-tracking and detection system can be divided into four steps: Face detection, eye region detection, pupil detection and eye tracking. To find the position of pupil, first, face region must be separated from the rest of the image using mixture of Gaussian, this will cause the images background to be non ...