This paper describes in detail a real-time multiple face detection system for video streams. The system adds to the good performance provided by a window shift approach, the combination of different cues available in video streams due to temporal coherence. The results achieved by this combined solution outperform the basic face detector obtaining a 98% success rate for around 27000 images, pro...

Face detection is an essential step in many computer vision applications like surveillance, tracking, medical analysis, facial expression analysis etc. Several approaches have been made in the direction of face detection. Among them, Haar-like features based method is a robust method. In spite of the robustness, Haar like features work with some limitations. However, with some simple modificati...

This paper presents the algorithm and evaluation results of a face detection and tracking system. A tree-structured multi-view face detector trained by Vector Boosting is used as the basic detection module. Once a new face are detected, a track is initialized and maintained by detection confidence and Lucas-Kanade features, which are fused by particle filter. Additionally, a post process is ado...

Face detection has many interesting applications such as a face recognition system, a surveillance system, and videolimage indexing system. In this paper, we propose a new method of face detection using an adaptive skin color model and salient features. First, we detect skin color segments by adjusting threshold window in HueSaturation(HS) subspace based on the distribution of color histogram. ...

We present a real-time system for the detection and tracking of faces in uncontrolled environments suitable for autonomous robots. The system is based on a CNN algorithm using a CNN-UM chip connected to a robot, which had to perform a face tracking task using a web camera mounted on a pan-tilt zoom unit. The experimental evaluation of the system demonstrates fast, reliable tracking of faces und...

A method for human head pose estimation in multicamera environments is proposed. The method computes the textured visual hull of the subject and unfolds the texture of the head on a hypothetical sphere around it, whose parameterization is iteratively rotated so that the face eventually occurs on its equator. This gives rise to a spherical image, in which face detection is simplified, because ex...

In this paper, we propose a method for detection and tracking of faces in video sequences in real time. It can be applied to a wide range of face scales. Our basic strategy for detection is fast extraction of face candidates with a Six-Segmented Rectangular (SSR) filter and face verification by a support vector machine. A motion cue is used in a simple way to avoid picking up false candidates i...

We present an approach for tracking a lecturer during the course of his speech. We use features from multiple cameras and microphones, and process them in a joint particle filter framework. The filter performs sampled projections of 3D location hypotheses and scores them using features from both audio and video. On the video side, the features are based on foreground segmentation, multi-view fa...

The face Detection methodsis used in order to provide security. The mentioned methods problems are that it cannot be categorized because of the great differences and varieties in the face of individuals. In this paper, face Detection methods has been presented for overcoming upon these problems based on skin color datum. The researcher gathered a face database of 30 individuals consisting of ov...