Face detection is, in general, based on content-based detectors. Nevertheless, the face is a non-rigid object with well defined relations with respect to the human body parts. In this paper, we propose to take benefit of the context information in order to improve content-based face detections. We propose a novel framework for integrating multiple contentand context-based detectors in a discrim...

This paper will describe the face detection algorithm presented by Paul Viola and Michael Jones in their 2003 article titled, “Robust Real-Time Face Detection”. We will present the method and highlight the key innovations which make it successful. Then we will examine the problem of face detection for use in webcams. This will let us make several assumptions which allow speed optimizations to b...

Recently, there is a strong demand for making use of large amounts of video data efficiently and effectively. When considering broadcast news video, people who appear in it is one of the major interests to a viewer. This is the common motivation of recent works that focus on extracting names of people that appear in news video footages. However, these works suffer a serious problem; a person is...

1 The central problem in the case of face detectors is to build a face class model. We present a method for face class modeling in the eigenfaces space using a large-margin classifier like SVM. Two main issues are addressed: what is the required number of eigenfaces to achieve a good classification rate and how to train the SVM for a good generalization. As the experimental evidence show, gener...

This paper deals with an approach to detect face from image with complex background. That can be use in many areas (eg. security systems, biometrics, telecommunications, etc.).In the first part there is presented brief overview of common used method for face localization in image. On the basis of comparison of its properties there was developed appropriate combination of several methods with pa...

In this study, we present a method to extensively reduce the number of retrieved images and increase the retrieval performance for the person queries on the broadcast news videos. A multi-modal approach which integrates face and text information is proposed. A state-of-theart face detection algorithm is improved using a skin color based method to eliminate the false alarms. This pruned set is c...

This paper presents a novel approach for automatic person labelling in video sequences using costumes. The person recognition is carried out by extracting the costumes of all the persons who appear in the video. Then, their reappearance in subsequent frames is performed by searching the reappearance of their costume. Our contribution in this paper is a new approach for costume detection, withou...

This paper presents a method for extending upright, frontal, template-based face detection systems to eeciently handle all in-plane rotations. Detecting rotated faces is a two step procedure. First a \De-Rotation" network is used to process each input window. If there is a face in the window, this network determines its angle of rotation. Based upon this estimated angle of rotation, the window ...