Real-Time Face Detection and Classification for ICCTV

Real-Time Face Detection and Classification for ICCTV

Author: 
Lovell, Brian C.
Place: 
Hershey
Publisher: 
IGI Global
Date published: 
2008
Responsibility: 
Chen, Shaokang, jt.author
Shan, Ting, jt.author
Editor: 
Wang, John
Journal Title: 
Encyclopedia of Data Warehousing and Mining, Second Edition
Source: 
Encyclopedia of Data Warehousing and Mining, Second Edition
Subject: 
Abstract: 

Data mining is widely used in various areas such as finance, marketing, communication, web service, surveillance and security. The continuing growth in computing hardware and consumer demand has led to a rapid increase of multimedia data searching. With the rapid development of computer vision and communication techniques, real-time multimedia data mining is becoming increasingly prevalent. A motivating application is Closed-Circuit Television (CCTV) surveillance systems. However, most data mining systems mainly concentrate on text based data because of the relative mature techniques available, which are not suitable for CCTV systems. Currently, CCTV systems rely heavily on human beings to monitor screens physically. An emerging problem is that with thousands of cameras installed, it is uneconomical and impractical to hire the required numbers of people for monitoring. An Intelligent CCTV (ICCTV) system is thus required for automatically or semi-automatically monitoring the cameras.

CITATION: Lovell, Brian C.. Real-Time Face Detection and Classification for ICCTV edited by Wang, John . Hershey : IGI Global , 2008. Encyclopedia of Data Warehousing and Mining, Second Edition - Available at: https://library.au.int/frreal-time-face-detection-and-classification-icctv