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A New Modeling Approach for the Video Pre-Analysis of Video Surveillance Systems

A New Modeling Approach for the Video Pre-Analysis of Video Surveillance Systems

Hocine Chebi
Copyright: © 2021 |Volume: 12 |Issue: 3 |Pages: 14
ISSN: 1942-3594|EISSN: 1942-3608|EISBN13: 9781799860785|DOI: 10.4018/IJAEC.2021070102
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MLA

Chebi, Hocine. "A New Modeling Approach for the Video Pre-Analysis of Video Surveillance Systems." IJAEC vol.12, no.3 2021: pp.21-34. http://doi.org/10.4018/IJAEC.2021070102

APA

Chebi, H. (2021). A New Modeling Approach for the Video Pre-Analysis of Video Surveillance Systems. International Journal of Applied Evolutionary Computation (IJAEC), 12(3), 21-34. http://doi.org/10.4018/IJAEC.2021070102

Chicago

Chebi, Hocine. "A New Modeling Approach for the Video Pre-Analysis of Video Surveillance Systems," International Journal of Applied Evolutionary Computation (IJAEC) 12, no.3: 21-34. http://doi.org/10.4018/IJAEC.2021070102

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Abstract

The work presented in this paper aims to develop a new architecture for video surveillance systems. Among the problems encountered when tracking and classifying objects are groups of occluded objects. Simplifying the representation of objects leads to other reliable object tracking with smaller amounts of information used but protection of the necessary characteristics. Therefore, modeling moving objects into a simpler form can be considered a pre-analysis technique. Objects can be represented in different ways, and the choice of the representation of an object strongly depends on the field of application. An example of a video surveillance system respecting this architecture and using the pre-analysis method is proposed.

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