Vision for intelligent vehicles is a growing area of research [5] for many practical reasons including the relatively inexpensive nature of camera sensing units and even more the non-contact and non-intrusive manner of observation. The latter is of critical importance when observing the driver inside the vehicle cockpit because no sensing unit should impede the driver’s primary task of driving....

Identity-independent estimation of head pose from prototype images is a perplexing task, requiring pose-invariant face detection. The problem is exacerbated by changes in illumination, identity and facial position. Facial images must be transformed in such a way as to emphasise di erences in pose, while suppressing di erences in identity. We investigate appropriate transformations for use with ...

This article contains a proposal for an automatic in-image face detection method, that tries to join several theories, which many authors wrote of before. The method assumes certain circumstances and constraints, respectively. Just because of such constraints it is not applicable universally. Thus, it’s not suitable for a starting-point of a more flexible method. On the other hand, however, it ...

Face detection using components has been proved to produce superior results due to its robustness to occlusions and pose and illumination changes. A first level of processing is devoted to the detection of individual components, while a second level deals with the fusion of the component detectors. However, the fusion methods investigated up to now neglect the uncertainties that characterize th...

In this paper we propose a new student attendance system based on biometric authentication protocol. This system is basically using the face detection and the recognition protocols to facilitate checking students’ attendance in the classroom. In the proposed system, the classroom’s camera is capturing the students’ photo, directly the face detection and recognition processes will be implemented...

We describe a face detection algorithm, which characterizes and localizes skin regions and eyes in 2D images using color information. The method is scale-independent, works on images of either frontal, rotated or tilted faces, with a single person or group of people, and does not require any manual setting or operator intervention. The algorithm has been used successfully as first step of a per...

A joint probabilistic face detection and tracking algorithm for combining a likelihood estimation and a prior probability is proposed in this paper. Face tracking is achieved by a Bayesian framework. The likelihood estimation scheme is based on statistical training of sets of automatically generated feature points, while the prior probability estimation is based on the fusion of an information ...

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In this paper, a method of combining face detectors is proposed, which is based on the geometry of the competing face detection results. The main idea of the method consists in finding groups of similar face detection results obtained by several algorithms and further averaging them. The combination result essentially depends on the number of algorithms that have fallen in each of the groups. T...

In this paper, we present a face detection system which combines skin color detection and AdaBoost methods. The aim of this combination is to satisfy the accuracy and speed, the two important characteristics of real time face detection. The second contribution of this paper is a new type of rectangular features for face detection, represented in a 2 X 3 matrix form. With these new features the ...