An Automated Surveillance System Based on Multi-Processor and GPU Architecture
Journal Title: Engineering, Technology & Applied Science Research - Year 2017, Vol 7, Issue 6
Abstract
Video surveillance systems are a powerful tool applied in various systems. Traditional systems based on human vision are to be avoided due to human errors. An automated surveillance system based on suspicious behavior presents a great challenge to developers. Such detection is a rather complex procedure and also a rather time-consuming one. An abnormal behavior could be identified by: actions, faces, route, etc. The definition of the characteristics of an abnormal behavior still present a big problem. This paper proposes a specific architecture for a surveillance system. The aim is to accelerate the system and obtain a reliable and accelerated suspicious behavior recognition. Finally, the experiment section illustrates the results with comparison of some of the most recent approaches.
Authors and Affiliations
M. B. Ayed, S. Elkosantini, M. Abid
Keywords
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- EP ID EP155553
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