Mohand Saïd Djouadi

  • Citations Per Year
Learn More
The problem treated in this paper is about optimal visual sensors placement and deployment with estimation of the appropriate location of an interceptor to be placed. The main objective of this research is to ensure accurate coverage of the monitoring space with a minimum number of directional "field­ of-view" (FOV) cameras and in the same time to decrease(More)
The worldwide increasing sentiment of insecurity gave birth to a new era, shaking thereby the intelligent videosurveillance systems design and deployment. The large-scale use of these means has prompted the creation of new needs in terms of analysis and interpretation. For this purpose, behavior recognition and scene understanding related applications have(More)
Behavior Analysis in visual surveillance has become a very active issue for the computer vision research community, particularly when crowded scenes are concerned. In this perspective, motion analysis and tracking is challenging due to significant visual ambiguities which incite to look into more alternative solutions. In this paper we introduce a new(More)
In this paper, we focus on the problem of optimally placing a mixture of static and PTZ cameras based on the resolution requirement, this configuration will be useful later cameras planning. The static cameras used for detecting an object or an event, this result is used to select the best PTZ camera within the network to identify or recognize this moving(More)
In this paper, we present an interesting filtering algorithm to perform accurate estimation in jump Markov nonlinear systems, in case of multi-target tracking. With this paper, we aim to contribute in solving the problem of modelbased body motion estimation by using data coming from visual sensors. The Interacting Multiple Model (IMM) algorithm is specially(More)
In this paper, we present an interesting filtering algorithm to perform accurate estimation in jump Markov nonlinear systems, in case of multi-target tracking. With this paper, we aim to contribute in solving the problem of modelbased body motion estimation by using data coming from visual sensors. The Interacting Multiple Model (IMM) algorithm is specially(More)
  • 1