driver drowsiness has been one of the main causes of on-road crashes which can lead to death, physical injuries and impose significant costs on the societies. the development of non-intrusive methods to be able to detect driver drowsiness in the early stages of drowsiness is great of importance. this is an educational review and its purpose is to provide recent achievements about non-intrusive ...

A method for face and facial features tracking in a low-resolution web camera video stream is described. The detection results are: face bounding ellipse, eyebrow line, nostrils and mouth position. The method works at reasonable framerates on a low-quality web camera on a PIII system. The implementation of the method can be used as input module for a natural human-computer interface system to p...

This paper presents a system for real-time face recognition. The system learns and recognizes faces from a video on the fly and it doesn’t need already trained database. The system consists of the following sub-methods: face detection and tracking, face alignment, key frame selection, face description and face matching. The system detects face tracks from a video, which are used in learning and...

We present an approach to robust, real-time person tracking in crowded and/or unknown environments using multimodal integration. We combine stereo, color, and face detection modules into a single robust system, and show an initial application for an interactive display where the user sees his face distorted into various comic poses in real-time. Stereo processing is used to isolate the figure o...

Human face processing techniques for broadcast video, including face detection, tracking, and recognition, has attracted a lot of research interest because of its value in various applications, such as video structuring, indexing, retrieval, and summarization. The main reason for this is that the human face provides rich information for spotting the appearance of certain people of interest, suc...

The paper presents a novel face detection and tracking algorithm which could be part of human-machine interaction in applications such as intelligent cash machine. The facial feature extraction algorithm is based on discrete approximation of Gabor Transform, called Discrete Gabor Jets (DGJ), evaluated in edge points. DGJ is computed using integral image for fast summations in arbitrary windows ...

Face diarization, i.e. face tracking and clustering within video documents, is useful and important for video indexing and fast browsing but it is also a difficult and time consuming task. In this paper, we address the tracking aspect and propose a novel algorithm with two main contributions. First, we propose an approach that leverages state-of-the-art deformable partbased model (DPM) face det...

The aim of the research is to develop improved methods for matching 3D models of faces to 2D images. We are currently implementing a 3D version of a 2D technique known as the Constrained Local Model (CLM) algorithm. This method uses a joint shape and texture appearance model which generates a set of region template detectors. By generating templates using the joint model and the parameter estim...

This paper presents a comparison study between the multilayer perceptron (MLP) and radial basis function (RBF) neural networks with supervised learning and back propagation algorithm to track hand gestures. Both networks have two output classes which are hand and face. Skin is detected by a regional based algorithm in the image, and then networks are applied on video sequences frame by frame in...