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A New System for Event Detection from Video Surveillance Sequences

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Advanced Concepts for Intelligent Vision Systems (ACIVS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6475))

Abstract

In this paper, we present an overview of a hybrid approach for event detection from video surveillance sequences that has been developed within the REGIMVid project. This system can be used to index and search the video sequence by the visual content. The platform provides moving object segmentation and tracking, High-level feature extraction and video event detection.We describe the architecture of the system as well as providing an overview of the descriptors supported to date. We then demonstrate the usefulness of the toolbox in the context of feature extraction, events learning and detection in large collection of video surveillance dataset.

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Wali, A., Ben Aoun, N., Karray, H., Ben Amar, C., Alimi, A.M. (2010). A New System for Event Detection from Video Surveillance Sequences. In: Blanc-Talon, J., Bone, D., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2010. Lecture Notes in Computer Science, vol 6475. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17691-3_11

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  • DOI: https://doi.org/10.1007/978-3-642-17691-3_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17690-6

  • Online ISBN: 978-3-642-17691-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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