Track-Before-Detect Using Expectation Maximisation The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications /

• Κύριοι συγγραφείς: Davey, Samuel J. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Gaetjens, Han X. (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Signals and Communication Technology,
• Θέματα: Signal processing.; Image processing.; Speech processing systems.; Optical data processing.; Computer mathematics.; Computational intelligence.; Signal, Image and Speech Processing.; Image Processing and Computer Vision.; Computational Science and Engineering.; Computational Intelligence.
• Φυσική περιγραφή: XXI, 352 p. 127 illus., 117 illus. in color. online resource.
• ISBN: 9789811075933
• ISSN: 1860-4862
• DOI: 10.1007/978-981-10-7593-3

This book offers a detailed description of the histogram probabilistic multi-hypothesis tracker (H-PMHT), providing an accessible and intuitive introduction to the mathematical mechanics of H-PMHT as well as a definitive reference source for the existing literature on the method. Beginning with basic concepts, the authors then move on to address extensions of the method to a broad class of tracking problems. The latter chapters present applications using recorded data from experimental radar, sonar and video sensor systems. The book is supplemented with software that both furthers readers' understanding and acts as a toolkit for those who wish to apply the methods to their own problems.