Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/541508
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dc.coverage.spatial
dc.date.accessioned2024-01-23T13:06:25Z-
dc.date.available2024-01-23T13:06:25Z-
dc.identifier.urihttp://hdl.handle.net/10603/541508-
dc.description.abstractThis thesis is concerned with three important components in target tracking, namely, data association, multiple-model filtering, and sensor resolution modeling for maneuvering and overlapping targets. The thesis proposes Classification Information based Multiple Hypotheses Tracking (CIMHT) scheme to address the data association problem, Interacting Multiple Model (IMM) scheme with velocity, acceleration, and turn model filters to perform tracking in Multiple Sensor Multiple Target (MSMT) scenarios with target maneuvers, and Combined IMM based Probabilistic Data Association Filter (IMMPDAF) scheme for tracking a large number of overlapping targets. newline
dc.format.extentxviii, 99
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleMultiple Target Tracking for Air Surveillance System
dc.title.alternative
dc.creator.researcherThite, Anita T
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Interdisciplinary Applications
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideMishra, Arun
dc.publisher.placePune
dc.publisher.universityDefence Institute of Advanced Technology
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered2012
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

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01_title.pdfAttached File63.11 kBAdobe PDFView/Open
02_prelim pages.pdf58.86 kBAdobe PDFView/Open
03_contents.pdf51.3 kBAdobe PDFView/Open
04_abstract.pdf48.78 kBAdobe PDFView/Open
10_annexures.pdf106.53 kBAdobe PDFView/Open
80_recommendation.pdf58.24 kBAdobe PDFView/Open


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