Abstract
The Visual Surveillance system has been an active subject matter due to its importance in security purpose. Detection of moving objects in a video sequence is obligatory in many computer vision applications. The present Visual Surveillance system is not smart enough to take its own actions based on the observations. Crime rate can be reduced greatly if the surveillance systems are able to take their own actions based on the observations. This can be achieved by implementing algorithms with compact hardware in the surveillance system. This paper depicts the real time hardware implementation of Visible Foreground Abstraction (VFA) algorithm in raspberry pi. In this work, the main concentration is the design of VFA algorithm in MATLAB® and its implementation using Raspberry Pi module. The design and implementation has yielded better accuracy than previous algorithms.
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Shruthi, M.L.J., Harsha, B.K., Indumathi, G. (2020). Implementation of Visible Foreground Abstraction Algorithm in MATLAB Using Raspberry Pi. In: Smys, S., Bestak, R., Rocha, Á. (eds) Inventive Computation Technologies. ICICIT 2019. Lecture Notes in Networks and Systems, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-030-33846-6_28
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DOI: https://doi.org/10.1007/978-3-030-33846-6_28
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Online ISBN: 978-3-030-33846-6
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