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...

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

Face recognition is one of the most successful applications in the field of image processing. Most robust face methods are difficult to improve their performance under certain environments. The paper proposes a method for robust face recognition and implementing a tagging process in video surveillance. It provides an interface for communicating with camera or webcam capturing images storing and...

This paper presents an implementation of a system designed for location of human faces and facial features such as pupils, eyes, nose and mouth. The kernel of the system is an integration of several algorithms, such as human face center -of-gravity template, illumination compensation, and so on . A false-face removal algorithm is proposed in this paper especially for the distinguish ing of cart...

Face detection is the first important step in many face image processing applications. Although a lot of work has been done on detecting frontal faces much less effort has been put into detecting faces with large image-plane or depth rotations. Most templates used in face detection are whole-face templates. However, such templates are ineffective for faces significantly rotated in depth. We pro...

Face recognition performance can be significantly influenced by face image quality. The approved ISO/IEC standard 19794-5 has specified recommendations for face photo taking for E-passport and related applications. Standardization of face image quality, ISO/IEC 29794-5, is in progress. Bad illumination, facial pose and out-of-focus are among main reasons that disqualify a face image sample. Thi...

In this paper, we present a method for fusing face and iris biometrics using single near infrared (NIR) image. Fusion of NIR face and iris modalities is a natural way of doing multi-model biometrics because they can be acquired in a single image. An NIR face image is taken using a high resolution NIR camera. Face and iris are segmented from the same NIR image. Face and iris features are then ex...

Face image matching is an essential step for face recognition and face verification. It is difficult to achieve robust face matching under various image acquisition conditions. In this paper, a novel face image matching algorithm robust against illumination variations is proposed. The proposed image matching algorithm is motivated by the characteristics of high image gradient along the face con...

Aiming at the problems existing in the work of traditional student’s attendance, using computer technology combined with the more advanced technology of face recognition, a real-time processing intelligent management system for student’s attendance has been studied and designed. The system is mainly composed of image collector and attendance management computer. Its control core is the digital ...