Efficient background modeling through incremental Support Vector Data Description

Alireza Tavakkoli, Mircea Nicolescu, George Bebis, Monica Nicolescu
2008 Pattern Recognition (ICPR), Proceedings of the International Conference on  
modeling is an essential and important part of many high-level video processing applications. Recently, the Support Vector Data Description (SVDD) has been introduced for novelty detection when only one class of data is available, i.e. background pixels. This paper proposes a method to efficiently train an SVDD and compares the performance of this training algorithm with the traditional SVDD training techniques. We compare the performance of our method with traditional SVDD and other
more » ... ion algorithms on various data sets including real video sequences.
doi:10.1109/icpr.2008.4761328 dblp:conf/icpr/TavakkoliNBN08 fatcat:tg34b3wmpjfklbmrxvan273sqy