TY - GEN
T1 - Gait-based person identification by spectral, cepstral and energy-related audio features
AU - Geiger, Jurgen T.
AU - Hofmann, Martin
AU - Schuller, Bjorn
AU - Rigoll, Gerhard
PY - 2013/10/18
Y1 - 2013/10/18
N2 - With this work, we address the problem of acoustic gait-based person identification, which is the task of identifying humans by the sounds they make while walking. We examine several acoustic features from speech processing tasks for their suitability for acoustic gait recognition. Using a wrapper-based feature selection technique, we reduce the feature set while at the same time increasing the identification accuracy by 10% (relative). For classification, Support Vector Machines (SVMs) are employed. Experiments are conducted using the TUM GAID database, which is a large gait recognition database containing 3 050 recordings of 305 subjects in three variations.
AB - With this work, we address the problem of acoustic gait-based person identification, which is the task of identifying humans by the sounds they make while walking. We examine several acoustic features from speech processing tasks for their suitability for acoustic gait recognition. Using a wrapper-based feature selection technique, we reduce the feature set while at the same time increasing the identification accuracy by 10% (relative). For classification, Support Vector Machines (SVMs) are employed. Experiments are conducted using the TUM GAID database, which is a large gait recognition database containing 3 050 recordings of 305 subjects in three variations.
KW - Acoustic gait-based person identification
KW - feature selection
KW - gait recognition
UR - http://www.scopus.com/inward/record.url?scp=84890526702&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2013.6637689
DO - 10.1109/ICASSP.2013.6637689
M3 - Conference contribution
AN - SCOPUS:84890526702
SN - 9781479903566
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 458
EP - 462
BT - 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
T2 - 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Y2 - 26 May 2013 through 31 May 2013
ER -