@conference { ISI:000350287800021,
	title = {Conception and Development of a Video Surveillance System for Detecting, Tracking and Profile Analysis of a Person},
	booktitle = {2013 3RD INTERNATIONAL SYMPOSIUM ISKO-MAGHREB},
	year = {2013},
	note = {ISKO-Maghreb 3rd International Symposium, Marrakech, MOROCCO, NOV 08-09, 2013},
	publisher = {ISKO},
	organization = {ISKO},
	abstract = {Video surveillance is an important research area in the commercial sector as well. Many architecture of video surveillance systems are used increasingly in security systems and with good reason. Generally, with a video surveillance system, we are in the picture 24 hours a day, 7 days a week. Actually, with the rapid development of hardware and software video surveillance systems, it is economically and technically feasible to build video surveillance system architecture and tailored to a specific need. Our proposed architecture software helps to: detect, track a moving person in video sequence and helps to specify his profile when is entering in a special region from controlled area. Especially, this proposed system triggers an alarm when the monitored person enters in the prohibited area or when it exceeds a lapse of time in this region. This developed system can be used for tracking people in real time and can be adapted to extract frames from the video sequence at different times and it can process the detection process, track and it can analyze the profile of the moving person in each time.},
	isbn = {978-1-4799-3392-1},
	author = {Ezzahout, Abderrahmane and Oulad Haj Thami, Rachid}
}
@conference { ISI:000324871900083,
	title = {A Real-Time People Tracking System Based on Trajectory Estimation Using Single Field of Camera View},
	booktitle = {2013 INTERNATIONAL CONFERENCE ON COMPUTER APPLICATIONS TECHNOLOGY (ICCAT)},
	year = {2013},
	note = {International Conference on Computer Applications Technology (ICCAT), Sousse, TUNISIA, JAN 20-22, 2013},
	publisher = {IEEE Tunisia Sect; Dar Al Uloom Univ; N\&N Global Technologies; Future Technologies \& Innovat},
	organization = {IEEE Tunisia Sect; Dar Al Uloom Univ; N\&N Global Technologies; Future Technologies \& Innovat},
	abstract = {Object detection is a crucial step for video surveillance systems. In this paper, we propose to detect moving objects in video sequences. Under the assumption that our camera is fixed, we use first subtracting the background to extract moving objects. From the detected foreground we applied the Harris corner detector to identify points of interest on the moving object. 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 to draw the trajectory of the objects present in the scene.},
	isbn = {978-1-4673-5285-7},
	author = {Hdioud, Boutaina and Ezzahout, Abderrahmane and Hadi, Youssef and Haj, Rachid Oulad and Thami}
}
@conference { ISI:000326649800036,
	title = {Tracking People Through Selected Blocks Using Correlation and Optimized Similarity Measure OSSD},
	booktitle = {2013 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS: THEORIES AND APPLICATIONS (SITA)},
	year = {2013},
	note = {8th International Conference on Intelligent Systems - Theories and Applications (SITA), Ecole Mohammadia Ingenieurs, Rabat, MOROCCO, MAY 08-09, 2013},
	publisher = {IEEE; IEEE Morocco Sect; Univ Mohammed V Agdal},
	organization = {IEEE; IEEE Morocco Sect; Univ Mohammed V Agdal},
	abstract = {This letter correspondence exposes results of a simple and appropriate technique for tracking a moving person in a stream captured and stored in a suitable memory. This method is based on research of similar block only in the next frame or on the range of frames in the video sequence in question. The proposed process of tracking people in a single view from one static camera starts like any video surveillance system with background subtraction. Then, a Minimal Boundary Rectangle is used to surround the moving people in each frame. A selected block of 8x8 sizes is used to calculate the values of their entire joint blocks component in the following frames of the used video sequence. Finally, we search the similarity measure: The minimal of the Optimized Sum of Squared Difference and the Fast Fourier Transform Correlation. The same blocks are correlated in the posterior frames corresponding to the minimum error.},
	isbn = {978-1-4799-0299-6},
	author = {Ezzahout, Abderrahmane and Thami, Rachid Oulad Haj and Hadi, Youssef}
}
