TY - GEN
T1 - 2.5D gait biometrics using the Depth Gradient Histogram Energy Image
AU - Hofmann, Martin
AU - Bachmann, Sebastian
AU - Rigoll, Gerhard
PY - 2012
Y1 - 2012
N2 - Using gait recognition methods, people can be identified by the way they walk. The most successful and efficient of these methods are based on the Gait Energy Image (GEI). In this paper, we extend the traditional Gait Energy Image by including depth information. First, GEI is extended by calculating the required silhouettes using depth data. We then formulate a completely new feature, which we call the Depth Gradient Histogram Energy Image (DGHEI). We compare the improved depth-GEI and the new DGHEI to the traditional GEI. We do this using a new gait database which was recorded with the Kinect sensor. On this database we show significant performance gain of DGHEI.
AB - Using gait recognition methods, people can be identified by the way they walk. The most successful and efficient of these methods are based on the Gait Energy Image (GEI). In this paper, we extend the traditional Gait Energy Image by including depth information. First, GEI is extended by calculating the required silhouettes using depth data. We then formulate a completely new feature, which we call the Depth Gradient Histogram Energy Image (DGHEI). We compare the improved depth-GEI and the new DGHEI to the traditional GEI. We do this using a new gait database which was recorded with the Kinect sensor. On this database we show significant performance gain of DGHEI.
UR - http://www.scopus.com/inward/record.url?scp=84871975250&partnerID=8YFLogxK
U2 - 10.1109/BTAS.2012.6374606
DO - 10.1109/BTAS.2012.6374606
M3 - Conference contribution
AN - SCOPUS:84871975250
SN - 9781467313841
T3 - 2012 IEEE 5th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2012
SP - 399
EP - 403
BT - 2012 IEEE 5th International Conference on Biometrics
T2 - 2012 IEEE 5th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2012
Y2 - 23 September 2012 through 27 September 2012
ER -