Target tracking performance can be improved by using multiple robot trackers, but this requires a coordinated motion strategy among the robots. We propose an algorithm based on treating the densities of robots and targets as properties of the environment in which they are embedded. By suitably manipulating these densities a control law for each robot is proposed. The proposed algorithm has been...

This paper addresses distributed multi-target tracking over a network of sensors having different fields-of-view (FoVs). Specifically, cardinalized probability hypothesis density (CPHD) filter is run at each sensor node. Due to the fact that node has limited FoV, standard fusion methods need be suitably modified. In fact, monitored area multiple nodes consists several parts are either exclusive...

Automated people tracking is important for a wide range of applications. However, typical surveillance cameras are controversial in their use, mainly due to the harsh intrusion of the tracked individuals’ privacy. In this paper, we explore a privacy-preserving alternative for multi-target tracking. A network of infrared sensors attached to the ceiling acts as a low-resolution, monochromatic cam...