Abstract
This paper proposes a cloud-oriented architecture for video analysis and motion detection. The core algorithm as been based on a typical computational intelligence method called Firefly Algorithm jointly with a Sobel filter in order to reduce the analysis complexity and the required computational effort. The developed system is completely self sufficient and highly scalable and expandable on demand. To achieve this result the developed architecture has beed accurately engineered by means of design patterns and structured as a layered application. Therefore the developed computational core is able to manage high level interfaces for the cloud environment as well as to take advantage of hardware level optimizations in order to maximize its performance and make it suitable for real time analysis of continuous video streams coming from multiple sources.
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Napoli, C., Tramontana, E. (2016). A Cloud Oriented Support for Motion Detection in Video Surveillance Systems Using Computational Intelligence. In: Dregvaite, G., Damasevicius, R. (eds) Information and Software Technologies. ICIST 2016. Communications in Computer and Information Science, vol 639. Springer, Cham. https://doi.org/10.1007/978-3-319-46254-7_36
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DOI: https://doi.org/10.1007/978-3-319-46254-7_36
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