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Real-Time Intruder Detection in Surveillance Networks Using Adaptive Kernel Methods | IEEE Conference Publication | IEEE Xplore

Real-Time Intruder Detection in Surveillance Networks Using Adaptive Kernel Methods


Abstract:

In this paper we apply a recursive algorithm based on kernel mappings to propose an automated, real-time intruder detection mechanism for surveillance networks. Our propo...Show More

Abstract:

In this paper we apply a recursive algorithm based on kernel mappings to propose an automated, real-time intruder detection mechanism for surveillance networks. Our proposed method is portable and adaptive, and does not require any expensive or sophisticated components. Through application to real images from BRAC University's closed-circuit television system and comparison with common methods based on Principle Component Analysis (PCA), we show that it is possible to obtain high detection accuracy with low complexity.
Date of Conference: 23-27 May 2010
Date Added to IEEE Xplore: 01 July 2010
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Conference Location: Cape Town, South Africa

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