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Understanding people attentional focus can be useful for several applications. One important challenge in this area is to determine the iris position in image/video in order to estimate gaze behavior. To this end, this paper presents a robust and non-intrusive method to locate human iris position in low resolution grayscale images, in real-time. The method requires the previous knowledge of the face...
This paper proposes a new approach for face tracking based on the individual tracking of KLT features. The face is initially detected using a face detection scheme, and KLT features are distributed along the face. Each feature is tracked individually, and the displacement of the center of the face is obtained using a Weighted Vector Median Filter (WVMF) of the individual displacements. The scale change...
This paper presents a new approach for voice activity detection (VAD) in videoconferencing applications based only on video information. In the proposed approach, a face detection scheme is applied to locate the face of the participant, and anthropometric measures are used to identify one patch below each eye, as well as a neighborhood around the mouth. The patches below the eyes are used to train...
This paper presents a low-cost tracking algorithm based on multiple multiple fragments, increasing robustness with respect to partial occlusions. Given the initial template representing the desired target, each pixel is classified into a different cluster based on a Mixture of Gaussians (MOG) model, and a set of disjoint fragments is created. The mean vector and covariance matrix of each fragment...
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