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
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;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
DOI :
10.1109/SIU.2014.6830413