Human face detection has always been an important problem for face, expression and gesture recognition. Though numerous attempts have been made to detect and localize faces, these approaches have made assumptions that restrict their extension to more general cases. In this research, we propose a feature-based face detection algorithm that can be easily extended to detect faces under diierent sc...

In this paper, we propose a fast and robust face detection method. We train a cascade-structured classifier with boosted haar-like features which uses intensity information only. To speed up the process, we integrate motion energy into the cascade-structured classifier. Motion energy can represent moving the extent of the candidate regions, which is used to reject most of the candidate windows ...

This paper presents a method of detecting faces based on Cost-Sensitive AdaBoost (CS-AdaBoost) algorithm. The two main differences between CS-AdaBoost algorithm and the naïve AdaBoost are that (1) unequal initial weights are given to each training sample according to its misclassification cost, and (2) the weights are updated separately for positives and negatives at each boosting step. Due to ...

This paper presents a system for protecting the privacy of specific individuals in video recordings. We address the following two problems: automatic people identification with limited labeled data, and human body obscuring with preserved structure and motion information. In order to address the first problem, we propose a new discriminative learning algorithm to improve people identification a...

Face Detection for Skintone Images Using Wavelet and Texture Features Written by Administrator Wednesday, 16 March 2011 09:26 Last Updated Monday, 21 March 2011 06:50 Images with Skin-tone regions pose new challenges in face detection problem. Paper presents a novel detection algorithm that uses a combination of colour spaces and edgedetection for segmentation followed by texture feature analy...

In this paper we perform a study of the image contents of the Chilean web (.cl domain) using automatic feature extraction, content-based analysis and face detection algorithms. In an automated process we examine all .cl websites and download a large number of the images available (approx. 83,000). Then we extract several visual features (color, texture, shape, etc.) and we perform face detectio...

In this paper we present a computer based approach to analysis of social interaction experiments for the diagnosis of autism spectrum disorders in young children of 6-18 months of age. We apply face detection on videos from a head-mounted wireless camera to measure the time a child spends looking at people. In-Plane rotation invariant Face Detection is used to detect faces from the diverse dire...

Present approaches to human face detection have made several assumptions that restrict their ability to be extended to general imaging conditions. We identify that the key factor in a generic and robust system is that of exploitinga large amount of evidence, related and reinforced by model knowledge through a probabilistic framework. In this paper, we propose a face detection framework that gro...

In order to perform coherent and robust interpretation of moving faces, one must resolve the inconsistency and ambiguities observed among multiple sources of highly noisy visual measurements. In this work, we describe a method for perceptual fusion through the estimation of observation covariance. We demonstrate the approach through a working system that performs real-time face detection and tr...