Efficient particle filtering for road-constrained target tracking

Particle Filtering For Target Tracking

Particle filtering is a sequential Monte Carlo technique that recursively computes the posterior probability density function using the concept of “Importance Sampling”. This paper considers the application of particle filtering technique to a target tracking application, in which a radar sends a signal towards a target and estimates the state (position and velocity) of the target using the obs...

Road-Constrained Target Tracking and Identification Using a Particle Filter

Sequential Monte Carlo methods have attracted the attention of the tracking community as a solution to Bayesian estimation particularly for nonlinear problems. Several attributes of particle filters support their use in jointly tracking and identifying ground targets in a road-constrained network. First, since the target dynamics are simulated, propagating a target within a constrained state sp...

Multiple Target Tracking With Constrained Motion Using Particle Filtering Methods

Particle filtering has been successfully used in target tracking applications when the state and measurement models are nonlinear and the associated noise is non-Gaussian. Among the most difficult scenarios of target tracking, are multiple target tracking (MTT) problems that require the application of realistic and often multiple kinematic models. Recently algorithms such as the independent par...

Energy Efficient Target Tracking in Wireless Sensor Networks: Sleep Scheduling, Particle Filtering, and Constrained Flooding

(ABSTRACT) Energy efficiency is a critical feature of wireless sensor networks (WSNs), because sensor nodes run on batteries that are generally difficult to recharge once deployed. For target tracking—one of the most important WSN application types—energy efficiency needs to be considered in various forms and shapes, such as idle listening, trajectory estimation, and data propagation. In this d...

Efficient particle filtering for multiple target tracking with application to tracking in structured images