Markov Chain Monte Carlo Data Association for Multiple-Target Tracking

Multiple Target Tracking Using Spatio-Temporal Monte Carlo Markov Chain Data Association

We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, and the goal is to recover trajectories of targets over time from noisy observations. Due to occlusions by targets and static objects, noisy segmentation and false alarms, one foreground region may not correspond to on...

Combining particle MCMC with Rao-Blackwellized Monte Carlo data association for parameter estimation in multiple target tracking

We consider state and parameter estimation in multiple target tracking problems with data association uncertainties and unknown number of targets. We show how the problem can be recast into a conditionally linear Gaussian state-space model with unknown parameters and present an algorithm for computationally efficient inference on the resulting model. The proposed algorithm is based on combining...

A Fully Automated Distributed Multiple-Target Tracking and Identity Management Algorithm

In this paper, we consider the problem of tracking multiple targets and managing their identities in sensor networks. Each sensor is assumed to be able to track multiple targets, manage the identities of targets within its surveillance region, and communicate with its neighboring sensors. The problem is complicated by the fact that the number of targets within the surveillance region of a senso...

Markov chain Monte Carlo data association for target tracking

On the Performance of Multi-Target Passive Sonar Tracking in Clutter

The problem of tracking multiple targets with passive bearings-only measurements is extremely challenging and rarely addressed explicitly in the literature. The difficulty arises mainly due to the low information content and non-linearity of the received measurements. Furthermore, effects such as high clutter density, closely spaced targets, and crossing targets are commonplace in passive track...