Title :
Integrated detection and tracking of multiple objects with a network of acoustic sensors
Author :
Ristic, Branko ; Arulampalam, Sanjeev
Author_Institution :
Defence Sci. & Technol. Organ., Fishermans Bend
Abstract :
The problem is joint detection and tracking of possibly several objects moving through a region of interest. A wireless sensor network (WSN), deployed in the region, collects the acoustic energy measurements and sends them to the fusion center for processing. The problem is cast in the sequential Bayesian estimation framework and solved using a particle filter. The number of objects is unknown and can vary over time. The paper presents the algorithm and demonstrates its performance by computer simulations. The particle filter error performance is compared to the theoretical Cramer-Rao bound (CRB) for multiple target tracking with the described WSN.
Keywords :
Bayes methods; acoustic signal detection; estimation theory; filtering theory; object detection; wireless sensor networks; Cramer-Rao bound; acoustic energy measurement; fusion center; multiple object detection; multiple object tracking; particle filter error performance; sequential Bayesian estimation framework; wireless sensor network; Acoustic sensors; Acoustic signal detection; Bayesian methods; Computer errors; Computer simulation; Energy measurement; Object detection; Particle filters; Target tracking; Wireless sensor networks; Cramer-Rao bound; Wireless sensor network; acoustic sensors; multiple-target tracking detection; nonlinear filters;
Conference_Titel :
Information Fusion, 2007 10th International Conference on
Conference_Location :
Quebec, Que.
Print_ISBN :
978-0-662-45804-3
Electronic_ISBN :
978-0-662-45804-3
DOI :
10.1109/ICIF.2007.4408173
