Cart (Loading....) | Create Account
Close category search window
 

Efficient Face Detection with Segmentation and Feature-based Face Scoring in Surveillance Systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Tse-Wei Chen ; Nat. Taiwan Univ., Taipei ; Wei-Kai Chan ; Shao-Yi Chien

Facial images with low resolution in surveillance sequences are hard to detect with traditional approaches. An efficient face detection and face scoring technique in surveillance systems is proposed. It combines spirits of image-based face detection and essences of video object segmentation to filter out high-quality faces. The proposed face scoring technique, which is useful for surveillance video summary and indexing, includes four scoring functions based on feature extraction and is integrated by a neural network training system to select high-quality face. Experiments show that the proposed algorithm effectively extracts low-resolution human faces, which traditional face detection algorithm cannot handle well. It can also rank face candidates according to face scores, which determine face quality.

Published in:

Multimedia Signal Processing, 2007. MMSP 2007. IEEE 9th Workshop on

Date of Conference:

1-3 Oct. 2007

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.