A Novel Background Subtraction Method Using Multiclass Support Vector Machine

Abstract:

Background subtraction, where the foreground is segmented from the background, is the first step of data analysis and processing in automated visual surveillance. Aiming to solve the problems associated with dynamic, multi-modal background, we explore a new approach which can handle the unconstrained environment. Based on multiclass support vector machines, a new MSVM is proposed for the classification of the background and the foreground. The simulation indicates our proposed algorithm is feasible.

• Periodical: Applied Mechanics and Materials (Volumes 701-702)
• Pages: 265-269
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.701-702.265
• Online since: December 2014
• Authors: Shao Na Zhou, Shao Rui Xu, Hua Xiao*
• Keywords: Background Subtraction, MSVM, Support Vector Machine (SVM)

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