Paper Info
Title
Automatic human activity classification using radar
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.
Year
DOI
Venue
2014
10.1109/SIU.2014.6830413
Signal Processing and Communications Applications Conference
Keywords
Field
DocType
Doppler radar,image classification,radar imaging,radar target recognition,automatic human activity classification,automatic target classification algorithms,human target classification,radar imaging,human activity classification,micro-Doppler,motion capture (MOCAP),radar
Radar engineering details,Computer vision,Radar imaging,Pattern recognition,Radar MASINT,Computer science,Man-portable radar,Radar lock-on,Artificial intelligence,Low probability of intercept radar,Fire-control radar,3D radar
Conference
ISSN
Citations 
PageRank 
2165-0608
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Cesur Karabacak191.68
Sevgi Zubeyde Gurbuz2528.44
Ali Cafer Gürbüz3299.17