Object tracking typically relies on a dynamic model to predict the object's location from its
past trajectory. In crowded scenarios a strong dynamic model is particularly important …

A generalized analysis of the IEEE 802.15. 4 medium access control (MAC) protocol in terms
of reliability, delay and energy consumption is presented. The IEEE 802.15. 4 exponential …

In this paper we describe a method to learn parameters which govern pedestrian motion by
observing video data. Our learning framework is based on variational mode learning and …

Video surveillance in crowded areas is becoming more and more significant for public
security. This paper presents a method for the detection of abnormality in crowded scenes …

The recognition in real time of crowd dynamics in public places are becoming essential to
avoid crowd related disasters and ensure safety of people. We present in this paper a new …

Security is extremely important for the deployment of a mobile ad-hoc networks (MANET)
due to its openness to attackers, the absence of an infrastructure, and the lack of centralized …

In this dissertation, we address the problem of understanding human activities in videos by
developing a two-pronged approach: coarse level modeling of scene activities and fine level …

Continuous selection theorem is a very versatile tool in nonlinear problems arising in
mathematics and applied science. Since a famous continuous selection theorem was …

When a critical amount of pedestrians herd together, pedestrians are showed several series
of group behaviors. Existing dynamical model can duplicate pedestrian's group behavior …