Abstract
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. © Springer-Verlag Berlin Heidelberg 2012.
Cite
CITATION STYLE
Walha, A., Wali, A., & Alimi, A. M. (2012). Support Vector Machine Approach for Detecting Events in Video Streams. In Communications in Computer and Information Science (Vol. 322, pp. 143–151). Springer Verlag. https://doi.org/10.1007/978-3-642-35326-0_15
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