DocumentCode
152552
Title
Automatic human activity classification using radar
Author
Karabacak, C. ; Gurbuz, Sevgi Zubeyde ; Gurbuz, A.C.
Author_Institution
Elektrik ve Elektron. Muhendisligi Bolumu, TOBB Ekonomi ve Teknoloji Univ., Ankara, Turkey
fYear
2014
fDate
23-25 April 2014
Firstpage
1051
Lastpage
1054
Abstract
Developing automatic target classification algorithms using radar is a widely researched topic in recent years. Among the targets classified in these algorithms, the most studied is humans. Classification of humans with high accuracy is very significant for many military and civil applications. Moreover, in these studies, besides the classification of human target, activities are also analyzed. Knowledge of the activity a person is engaged in can substantially change the alarm level in some applications. In this paper, an algorithm that automatically classifies walking, running, crawling, and creeping using radar is presented.
Keywords
Doppler radar; image classification; radar imaging; radar target recognition; automatic human activity classification; automatic target classification algorithms; human target classification; radar imaging; Conferences; Doppler effect; Doppler radar; Radar remote sensing; Radar signal processing; human activity classification; micro-Doppler; motion capture (MOCAP); radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location
Trabzon
Type
conf
DOI
10.1109/SIU.2014.6830413
Filename
6830413
Link To Document