Human activity classification based on micro-doppler signatures using a support vector machine

IEEE Transactions on Geoscience and Remote Sensing

Volumn 47, Issue 5, 2009, Pages 1328-1337

  Kim, Youngwook ^a   Ling, Hao ^b  

^a CALIFORNIA STATE UNIVERSITY   (United States)

^b The University of Texas at Austin   (United States)

Author keywords

Human activity classification; Micro doppler; Support vector machine; Through wall

Indexed keywords

CLASSIFICATION ACCURACIES; CROSS VALIDATIONS; DECISION-TREE; DOPPLER; HUMAN ACTIVITY CLASSIFICATION; HUMAN SUBJECTS; MEASURED DATUM; MICRO-DOPPLER; MULTI-CLASS CLASSIFICATIONS; OBLIQUE ANGLES; OPTIMAL PARAMETERS; SPECTROGRAM; THROUGH-WALL; TIME DURATIONS;

DOPPLER RADAR; FORESTRY; IMAGE RETRIEVAL; SUPPORT VECTOR MACHINES; VECTORS;

RADAR MEASUREMENT;

CLASSIFICATION; DOPPLER EFFECT; FEASIBILITY STUDY; HUMAN ACTIVITY; MACHINERY; MOTILITY; VECTOR;

DECISION MAKING; DOPPLER EFFECT; FORESTRY; IMAGE ANALYSIS; PARAMETERS; RADAR;

EID: 67349125767     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2009.2012849     Document Type: Article

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