Title :
A Bayesian Framework for Target Tracking in Sensor Networks
Author :
Yuanguo, Cheng ; Guohui, Li
Author_Institution :
Navy Eng. Univ., Wuhan
Abstract :
The work described in this paper presents a framework to track a moving target in sensor networks. The framework employs a method based on Bayesian classification to calculate the detection probabilities and proposes a tracking algorithm by defining the moving scope of a target, where the sensors have the higher values of detection probabilities. Experiment results show this scheme is effective.
Keywords :
Bayes methods; target tracking; wireless sensor networks; Bayesian classification; sensor network; target tracking; Bayesian methods; Educational institutions; Monitoring; Object detection; Probability; Sensor phenomena and characterization; Sensor systems; Target tracking; Uncertainty; Wireless sensor networks; Bayesian Classification; Sensor Networks; Target Tracking;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4346899
