Support Vector Machine Approach for Detecting Events in Video Streams.
ADVANCED MACHINE LEARNING TECHNOLOGIES AND APPLICATIONS（2012）
摘要
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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关键词
Support Vector Machine, Event Detection, Gaussian Mixture Model, Video Stream, Video Surveillance
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