Motivation: Most object detection tasks in computer vision are computationally extensive because of a) the large amount of input data that has to be processed and b) the use of complex classifiers that are robust against pose and illumination changes. Speeding-up the classification is therefore of major concern when developing systems for real-world applications. We investigate two methods for ...

Many information of an object can simultaneously be conserved by histogram based features. Because of the different intensities of pixels and different lighting conditions in an image, histograms which are employed for extracting features are better to be first equalized. In this paper, the effect of equalization over the histograms used for feature extraction is studied. Experimental results o...

This paper presents progress toward an integrated face detection and demographic analysis system that is robust and works in real-time. Faces are detected and extracted using the very fast algorithm recently proposed by Viola & Jones. Detected faces are passed to a novel demographics classifier which uses the same architecture as the face detector. This demographic classifier is extremely fast,...

This paper proposes a novel, simple and efficient method for face segmentation which works by coupling face detection and segmentation in a single framework. We use the OBJCUT [5] formulation that allows for a smooth combination of object detection and Markov Random Field for segmentation, to produce a real-time face segmentation. It should be noted that our algorithm is extremely efficient and...

In low-resolution images, people at large distance appear very small and we may be interested in detecting the subject’s face for recognition or analysis. However, recent face detection methods usually detect face images of about 20×20 pixels or 24×24 pixels. Face detection in low-resolution images has not been explicitly studied. In this work, we studied the relationship between resolution and...

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 ...

In this paper algorithm to detects human facial features like the mouth, nose and eyes in a full frontal face image is proposed. The new algorithm is proposed in order to detect automatically face features (eyes, mouth and nose) and extract their corresponding geometrical point. This project presents and implements a facial feature point extraction and recognition method of facial expression an...

In this study we will able to find an introduction to the work done by other researchers related to the problem of face detection will be presented. It gives a good insight into the problem and overviews the different algorithms used in attempt to solve the problem. In this paper we study 6 most popular face detection algorithms. These algorithms are Face detection using Eigen Faces, Hausdorff ...

A new method for real-time face localization from a streaming color video was developed. The method consisted of three stages. First, the face-like skin-colored image region was segmented from the background and transformed into the grey scale representation. Second, the cropped image was convolved with Sobel operator in order to extract local oriented edges at 16 orientations. The extracted lo...