Many problems in decision making, monitoring, fault detection, and control rely on the
knowledge of state variables and time-varying parameters that are not directly measured by …

We discussed emerging multicamera tracking algorithms that find their roots in signal
processing, wireless sensor networks, and computer vision. Based on how cameras share …

Sensor networks (SNs) have arisen as one of the most promising technologies for the next
decades. The recent emergence of small and inexpensive sensors based upon …

Target tracking is investigated using particle filtering of data collected by distributed sensors.
In lieu of a fusion center, local measurements must be disseminated across the network for …

This paper introduces a distributed auxiliary particle filter for target tracking in sensor
networks. Nodes maintain a shared particle filter by coming to a consensus about the …

Recent work has shown that, despite the minimal information provided by a binary proximity
sensor, a network of these sensors can provide remarkably good target tracking …

We describe in this paper novel consensus-based distributed particle filtering algorithms
which are applied to cooperative blind equalization of frequency-selective channels in a …

Particle filters (or PFs) are widely used for the tracking problem in dynamic systems. Despite
their remarkable tracking performance and flexibility, PFs require intensive computation and …

We examine the problem of tracking dynamic boundaries occurring in natural phenomena
using a network of range sensors. Two main challenges of the boundary tracking problem …

Many complex physical systems are the interconnection of lower-dimensional subsystems.
For such systems, distributed stability analysis and observer design presents several …