@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 {Ezzahout20139, title = {An efficient people tracking system using the FFT-Correlation and Optimized SAD}, journal = {Journal of Theoretical and Applied Information Technology}, volume = {48}, number = {1}, year = {2013}, note = {cited By 1}, pages = {9-14}, abstract = {The research questions which this study addresses are resumed in obtaining the picks of Optimized SAD and FFT-Correlation function. These values allow us to detect and track the blocs corresponding to the moving person. This Bloc-Matching system of our tracked bloc 8x8, simplify the process of detecting and tracking all the representative matrix of foreground. Practically, in this correspondence, we propose an implementation technique for detection and tracking system which detect and track people{\textquoteright}s in motion using a fixed single camera. These bi-techniques simplify the process of people tracking and give a new way for people tracking. Moreover, in this system we choose to detect moving people with the more robust algorithm (Gaussian Mixture Model) in term of misclassified pixels. Thereafter, we track a bloc 8x8 from the bounding box containing the moving person by returning the position of the similar bloc in the next frame. This bloc position is detected by maximization of the Fast Fourier Transform-Correlation (FFT-Corr) and minimizing the error: optimized Sum of Absolute Difference (OSAD) between the bloc reference and the similar bloc. {\textcopyright} 2005 - 2013 JATIT \& LLS. All rights reserved.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876021321\&partnerID=40\&md5=cfb2300d8d0e312b0c77d271b683b278}, author = {Ezzahout, A.a and Hadi, M.Y.b and Thami, R.O.H.a} }