We describe a real-time 3D face detector based on boosted cascade classifiers that uses a scale-invariant image representation to improve both efficiency and efficacy of the detection process, named orthogonal projection images. In this representation, images are no longer scanned at multiple scales in order to detect faces with different distances in relation to the camera. The proposed detect...

We introduce a family of multiscale, orientation-selective, non-parametric features (“ranklets”) modelled on Haar wavelets. We clarify their relation to the Wilcoxon ranksum test and the rank transform and provide an efficient scheme for computation based on the Mann-Whitney statistics. Finally, we show that ranklets outperform other rank features, Haar wavelets, SNoW and linear SVMs (based on ...

Video contains multiple types of audio and visual information, which are difficult to extract, combine or trade-off in general video information retrieval. This paper provides an evaluation on the effects of different types of information used for video retrieval from a video collection. A number of different sources of information are present in most typical broadcast video collections and can...

We present a method for discovering and exploiting object specific deep learning features and use face detection as a case study. Motivated by the observation that certain convolutional channels of a Convolutional Neural Network (CNN) exhibit object specific responses, we seek to discover and exploit the convolutional channels of a CNN in which neurons are activated by the presence of specific ...

A new color space, YCgCr, is described and applied for face detection. Although similar to the YCbCr color space, it differs in the use of the Cg color component instead of the Cb one. Here, the fundamentals of this new color space YCgCr are presented and its capabilities and advantages over YCbCr are analyzed. After describing the face extraction technique and the required decision values, the...

This paper presents an example-based learning approach for locating vertical frontal views of human faces in complex scenes. The technique models the distribution of human face patterns by means of a few view-based \face" and \non-face" prototype clusters. A 2-Value metric is proposed for computing distance features between test patterns and the distribution-based face model during classiicatio...

In this paper, we present a multisensor surveillance system that consists of an optical sensor and an infrared sensor. In this system, a background subtraction method based on zero-order statistics is utilized for the moving object segmentation. Additionally, we propose a generic approach to simultaneous object tracking and multisensor image registration. An efficient face detection system is s...

 Use of Face Detection to Qualify Image Processing Algorithms Steven Simske, Dalong Li, Darryl Greig

Detecting faces in images with different complex backgrounds and variation of the face in images is a complex job. In this paper, we present a neural network based upright frontal face detection system. In neural network based face detection approach, the neural network examines an incremental small window of an image to decide if there is a face contained in each window. To decrease the amount...

A robust skin detector is the primary need of many fields of computer vision, including face detection, gesture recognition, and pornography filtering. Less than 10 years ago, the first paper on automatic pornography filtering was published. Since then, different researchers claim different color spaces to be the best choice for skin detection in pornography filtering. Unfortunately, no com...