DocumentCode
714446
Title
Human victim detection with Deformable Part Models
Author
Yilmaz, Bedir ; Balcilar, Muhammet ; Amasyali, Mehmet Fatih ; Yavuz, Sirma
Author_Institution
Bilgisayar Muhendisligi Bolumu, Yildiz Teknik Univ., Istanbul, Turkey
fYear
2015
fDate
16-19 May 2015
Firstpage
947
Lastpage
950
Abstract
Algorithms 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.
Keywords
object detection; object recognition; rescue robots; robot vision; autonomous search and rescue robot; computer vision; deformable part models; digital image; human victim detection; static shape; target recognition; Deformable models; MATLAB; Mathematical model; Robots; DPM; Human Victim Detection; Search and Rescue;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location
Malatya
Type
conf
DOI
10.1109/SIU.2015.7129987
Filename
7129987
Link To Document