Real-Time Face Detection and Classification for ICCTV

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Author(s): Brian C. Lovell (The University of Queensland, Australia), Shaokang Chen (NICTA, Australia)and Ting Shan (NICTA, Australia)
Copyright: 2009
Pages: 8
Source title: Encyclopedia of Data Warehousing and Mining, Second Edition
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-60566-010-3.ch253

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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.

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