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.
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Walha, A., Wali, A., Alimi, A.M. (2012). Support Vector Machine Approach for Detecting Events in Video Streams. In: Hassanien, A.E., Salem, AB.M., Ramadan, R., Kim, Th. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2012. Communications in Computer and Information Science, vol 322. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35326-0_15
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DOI: https://doi.org/10.1007/978-3-642-35326-0_15
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