@article {Hdioud2014495,
	title = {Video surveillance: Analyzing people{\textquoteright}s movements in a closed environment},
	journal = {International Review on Computers and Software},
	volume = {9},
	number = {3},
	year = {2014},
	note = {cited By 1},
	pages = {495-501},
	abstract = {In this paper, we developed a method for tracking multiple people in a closed environment based on the feed of a surveillance camera. Monitoring the evolution of the position of people in real time has enabled us to get information on areas occupied by each person in a scene. In addition, to consolidate the trajectories obtained in homogeneous classes, we proposed a new algorithm which allows to adapt the hierarchical classification technique (CHA) and the KMeans technique in cases of similarity measures between trajectories. {\textcopyright} 2014 Praise Worthy Prize S.r.l. - All rights reserved.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901056262\&partnerID=40\&md5=6dbe9ab0e6c6e8ac8f7c70924419b152},
	author = {Hdioud, B.a and Tirari, M.E.H.b and Thami, R.O.H.a}
}
@article {Hdioud2013523,
	title = {Video-surveillance system for tracking a person by estimating the trajectory},
	journal = {Journal of Theoretical and Applied Information Technology},
	volume = {57},
	number = {3},
	year = {2013},
	note = {cited By 0},
	pages = {523-529},
	abstract = {This paper we propose a simple and efficient video surveillance system which detects and tracks a person in a video stream. Object detection is the most important and crucial step for any video surveillance system. In this paper, we separate foreground and background by using the statistical model of Gaussian Mixture (GMM). Interests points are identified in the detected regions (foreground) using the Harris detector. The analysis of connected components detected by subtracting the background allows grouped the pixels of moving objects in order to extract the center of gravity. Then, a boundary box is used to limit the area of connected components in order to detect the coordinates of the gravity center of the moving person. Finally, by projection in Euclidean plan we can get the trajectory of the person in motion and compute the Euclidean distance crossed in the scene. {\textcopyright} 2005 - 2013 JATIT \& LLS. All rights reserved.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84888801523\&partnerID=40\&md5=747018a467afddec5afee50655417479},
	author = {Hdioud, B.a and Oulad Haj Thami, R.a and El Haj Tirari, M.b}
}
