A novel all-neighbor fuzzy association approach for multitarget tracking in a cluttered environment

DOI10.1016/j.sigpro.2011.03.007zbMath1217.94033OpenAlexW2069476199MaRDI QIDQ553757

Ashraf M. Aziz

Publication date: 27 July 2011

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2011.03.007

zbMATH Keywords

data associationjoint probabilistic data associationmaneuvering targetsmultitarget trackingtracking in a clutter

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Fuzzy sets and logic (in connection with information, communication, or circuits theory) (94D05)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A simple and efficient suboptimal multilevel quantization approach in geographically distributed sensor systems
• Fuzzy track-to-track association and track fusion approach in distributed multisensor-multitarget multiple-attribute environment
• Distributed interacting multiple model \(H_{\infty }\) filtering fusion for multiplatform maneuvering target tracking in clutter
• Maximum entropy fuzzy clustering with application to real-time target tracking
• Tracking and data association
• Fuzzy sets as a basis for a theory of possibility
• Fuzzy logic data correlation approach in multisensor--multitarget tracking systems
• On probability-possibility transformations
• On the concept of possibility-probability consistency
• Hybrid fuzzy probabilistic data association filter and joint probabilistic data association filter

This page was built for publication: A novel all-neighbor fuzzy association approach for multitarget tracking in a cluttered environment