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Human Detection by Surveillance Camera

Human Detection by Surveillance Camera

Larbi Guezouli, Hanane Boukhetache, Imene Kebi
Copyright: © 2018 |Volume: 6 |Issue: 1 |Pages: 13
ISSN: 2166-7195|EISSN: 2166-7209|EISBN13: 9781522546771|DOI: 10.4018/IJRAT.2018010102
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MLA

Guezouli, Larbi, et al. "Human Detection by Surveillance Camera." IJRAT vol.6, no.1 2018: pp.21-33. http://doi.org/10.4018/IJRAT.2018010102

APA

Guezouli, L., Boukhetache, H., & Kebi, I. (2018). Human Detection by Surveillance Camera. International Journal of Robotics Applications and Technologies (IJRAT), 6(1), 21-33. http://doi.org/10.4018/IJRAT.2018010102

Chicago

Guezouli, Larbi, Hanane Boukhetache, and Imene Kebi. "Human Detection by Surveillance Camera," International Journal of Robotics Applications and Technologies (IJRAT) 6, no.1: 21-33. http://doi.org/10.4018/IJRAT.2018010102

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Abstract

Security problems and decreasing costs, leads to the rapid development of video surveillance systems. It is necessary to implement analytical tools capable of identifying objects that may appear in the video sequence. The work presented in this article consists of designing a video surveillance system for the automatic detection of humans in a video sequence acquired by a fixed camera. The principle of this work is based on the modeling and subtraction of the background. In order to determine the nature of the objects, the authors make the detection of the contours of the foreground image, then by matching this contour with the images of a base, silhouette images of people in different positions. The acquisition of the frames is carried out in real time, the matching of the images takes a considerable time and this time becomes increasingly longer based on the size of the base. To solve this problem, the authors have used the parallelism.

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