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Human Victim Detection with Deformable Part Models

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dc.contributor.authorYilmaz, Bedir
dc.contributor.authorBalcilar, Muhammet
dc.contributor.authorAmasyali, Mehmet Fatih
dc.contributor.authorYavuz, Sirma
dc.date.accessioned2026-06-27T13:53:58Z
dc.date.issued2015
dc.description.abstractAlgorithms that are highly accurate against object categories that have a sufficiently static shape such as HoG are incapable of recognizing the targets that have a highly articulated figures such as human beings which are the main case of search and rescue missions. In our study, we have implemented a version of DPM that reaches high accuracy and speed when it comes to find these kind of targets in digital images as a part of our goal to bring in the capability of computer vision to our autonomous search and rescue robot.en
dc.identifier.endpage950
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.startpage947
dc.identifier.urihttps://hdl.handle.net/20.500.14981/55447
dc.identifier.wos000380500900217
dc.language.isotur
dc.publisherIEEE
dc.relation.conference23nd Signal Processing and Communications Applications Conference (SIU)
dc.relation.ispartof2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)
dc.subjectSearch and Rescue
dc.subjectDPM
dc.subjectHuman Victim Detection
dc.subjectEngineering
dc.subjectTelecommunications
dc.titleHuman Victim Detection with Deformable Part Models
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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