TY - GEN
T1 - A hierarchical approach for visual suspicious behavior detection in aircrafts
AU - Arsić, D.
AU - Hörnler, B.
AU - Schuller, B.
AU - Rigoll, G.
PY - 2009
Y1 - 2009
N2 - Recently great interest has been shown in the visual surveillance of public transportation systems. The challenge is the automated analysis of passenger's behaviors with a set of visual low- level features, which can be extracted robustly. On a set of global motion features computed in different parts of the image, here the complete image, the face and skin color regions, a classification with Support Vector Machines is per- formed. Test-runs on a database of aggressive, cheerful, intoxicated, nervous, neutral and tired behavior.
AB - Recently great interest has been shown in the visual surveillance of public transportation systems. The challenge is the automated analysis of passenger's behaviors with a set of visual low- level features, which can be extracted robustly. On a set of global motion features computed in different parts of the image, here the complete image, the face and skin color regions, a classification with Support Vector Machines is per- formed. Test-runs on a database of aggressive, cheerful, intoxicated, nervous, neutral and tired behavior.
KW - Behavior detection
KW - Fusion
KW - Low level features
KW - SVM
KW - Surveillance
UR - http://www.scopus.com/inward/record.url?scp=70449580639&partnerID=8YFLogxK
U2 - 10.1109/ICDSP.2009.5201258
DO - 10.1109/ICDSP.2009.5201258
M3 - Conference contribution
AN - SCOPUS:70449580639
SN - 9781424432981
T3 - DSP 2009: 16th International Conference on Digital Signal Processing, Proceedings
BT - DSP 2009:16th International Conference on Digital Signal Processing, Proceedings
T2 - DSP 2009:16th International Conference on Digital Signal Processing
Y2 - 5 July 2009 through 7 July 2009
ER -