Wireless sensor networks: a survey
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Sum Versus Vote Fusion in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
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ISORC '03 Proceedings of the Sixth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing
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IEEE Transactions on Knowledge and Data Engineering
Entropy-based sensor selection heuristic for target localization
Proceedings of the 3rd international symposium on Information processing in sensor networks
Distributed state representation for tracking problems in sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
A line in the sand: a wireless sensor network for target detection, classification, and tracking
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Dynamic agent classification and tracking using an ad hoc mobile acoustic sensor network
EURASIP Journal on Applied Signal Processing
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Survey and analysis of multimodal sensor planning and integration for wide area surveillance
ACM Computing Surveys (CSUR)
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Distributive target tracking in sensor networks with a Markov random field model
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
On collaborative tracking of a target group using binary proximity sensors
Journal of Parallel and Distributed Computing
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Neural Computation
A grid-based coverage approach for target tracking in hybrid sensor networks
Journal of Systems and Software
SAMT'10 Proceedings of the 5th international conference on Semantic and digital media technologies
Computers & Mathematics with Applications
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Multisensor data fusion: A review of the state-of-the-art
Information Fusion
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International Journal of Ad Hoc and Ubiquitous Computing
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ACM Transactions on Sensor Networks (TOSN)
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The tracking of objects using distributed multiple sensors is an important field of work in the application areas of autonomous robotics, military applications, and mobile systems. In this survey, we review a number of computationally intelligent methods that are used for developing robust tracking schemes through sensor data fusion. The survey discusses the application of the various algorithms at different layers of the JDL model and highlights the weaknesses and strengths of the approaches in the context of different applications.