Tracking Multiple Targets Using Binary Decisions From Wireless Sensor Networks

DOI10.1080/01621459.2013.770284OpenAlexW2132778911MaRDI QIDQ5327262

Natallia Katenka, Elizaveta Levina, George Michailidis

Publication date: 7 August 2013

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01621459.2013.770284

zbMATH Keywords

target trackingbinary datapenelized maximum likelihood

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Kernel-based estimation of individual location densities from smartphone data

Cites Work

• Detection and localization of hidden radioactive sources with spatial statistical method
• Estimating the dimension of a model
• Bayesian variable selection using cost-adjusted BIC, with application to cost-effective measurement of quality of health care
• How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis
• Local Vote Decision Fusion for Target Detection in Wireless Sensor Networks
• On Energy-Based Acoustic Source Localization for Sensor Networks
• Distributed Detection in Sensor Networks With Limited Range Multimodal Sensors
• Fisher information and stochastic complexity

This page was built for publication: Tracking Multiple Targets Using Binary Decisions From Wireless Sensor Networks