Target Tracking Using Machine Learning and Kalman Filter in Wireless Sensor Networks

Sandy Mahfouz; Farah Mourad-Chehade; Paul Honeiné; Joumana Farah; Hichem Snoussi

doi:10.1109/jsen.2014.2332098

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JOURNAL ARTICLE

Target Tracking Using Machine Learning and Kalman Filter in Wireless Sensor Networks

Sandy Mahfouz Farah Mourad-Chehade Paul Honeiné Joumana Farah Hichem Snoussi

Year: 2014 Journal: IEEE Sensors Journal Vol: 14 (10)Pages: 3715-3725 Publisher: IEEE Sensors Council

DOI: 10.1109/jsen.2014.2332098

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Abstract

International audience

Keywords:

Kalman filter Computer science Artificial intelligence Wireless sensor network Acceleration Position (finance) Kernel (algebra) Tracking (education) Extended Kalman filter Filter (signal processing) Computer vision Machine learning Mathematics

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119

Cited By

4.62

FWCI (Field Weighted Citation Impact)

Refs

0.96

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Indoor and Outdoor Localization Technologies

Physical Sciences → Engineering → Electrical and Electronic Engineering

Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Distributed Sensor Networks and Detection Algorithms

Physical Sciences → Computer Science → Computer Networks and Communications

Target Tracking Using Machine Learning and Kalman Filter in Wireless Sensor Networks

Abstract

Metrics

Citation History

Topics

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