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Support Vector Machine Approach for Detecting Events in Video Streams
Conference proceeding   Peer reviewed

Support Vector Machine Approach for Detecting Events in Video Streams

Ahlem Walha, Ali Wali and Adel M. Alimi
ADVANCED MACHINE LEARNING TECHNOLOGIES AND APPLICATIONS, Vol.322, pp.143-151
Communications in Computer and Information Science
01/01/2012
DOI: https://doi.org/10.1007/978-3-642-35326-0_15

Abstract

Computer Science Computer Science, Artificial Intelligence Computer Science, Theory & Methods Science & Technology Technology
The object recognition is an important topic in image processing. In this paper we present an overview of a robust approach for event detection from video surveillance. Our events detecting system consists of three modules, learning, extraction and detection. The extraction part of the video characteristics is based on MPEG 7. Meanwhile, in the detection part we use SVMs for the recognition of events.

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