@conference {Aitfares2017113,
	title = {Suspicious behavior detection of people by monitoring camera},
	booktitle = {International Conference on Multimedia Computing and Systems -Proceedings},
	year = {2017},
	note = {cited By 0},
	pages = {113-117},
	abstract = {The analytic video is a very challenging area of research in computer vision. Ensure a high level of security in a public space monitored by a surveillance camera is a difficult task in recent years. Understanding people behaviors in real time allows the surveillance systems to analyze unusual events through the video frames. In this paper, we propose a new approach for detecting suspicious behavior of moving people. We are not interested in a simple motion detection of a moving object, but we analyze the trajectory of this latter; relying on the object motion vector. Once a suspicious behavior suddenly occurs in this trajectory, we segment and track this object during its motion within the camera{\textquoteright}s field of view. Experiments with real-world images validate the efficiency of the proposed approach. {\textcopyright} 2016 IEEE.},
	doi = {10.1109/ICMCS.2016.7905601},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019074005\&doi=10.1109\%2fICMCS.2016.7905601\&partnerID=40\&md5=72fbf7b2e7ea117ae6bf2217a9fdc658},
	author = {Aitfares, W. and Kobbane, A. and Kriouile, A.}
}
