TY - GEN
T1 - An approach to improving single sample face recognition using high confident tracking trajectories
AU - Ali Akber Dewan, M.
AU - Qiao, Dan
AU - Lin, Fuhua
AU - Wen, Dunwei
AU - Kinshuk,
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - In this paper, single sample face recognition (SSFR) problem is addressed by introducing an adaptive biometric system within a modular architecture where one detector per target individual is proposed. For each detector, a face model is generated with the gallery face image and updated overtime. Sequential Karhunen-Loeve technique is applied to update the face model using representative face captures which are selected from the operational data by using reliable tracking trajectories. This process helps to induce intra-class variation of face appearance and improve representativeness of the face models. The effectiveness of the proposed method is detailed in security surveillance and user authentication using Chokepoint and FIA datasets in SSFR setting.
AB - In this paper, single sample face recognition (SSFR) problem is addressed by introducing an adaptive biometric system within a modular architecture where one detector per target individual is proposed. For each detector, a face model is generated with the gallery face image and updated overtime. Sequential Karhunen-Loeve technique is applied to update the face model using representative face captures which are selected from the operational data by using reliable tracking trajectories. This process helps to induce intra-class variation of face appearance and improve representativeness of the face models. The effectiveness of the proposed method is detailed in security surveillance and user authentication using Chokepoint and FIA datasets in SSFR setting.
UR - http://www.scopus.com/inward/record.url?scp=84970028343&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-34111-8_16
DO - 10.1007/978-3-319-34111-8_16
M3 - Published Conference contribution
AN - SCOPUS:84970028343
SN - 9783319341101
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 115
EP - 121
BT - Advances in Artificial Intelligence - 29th Canadian Conference on Artificial Intelligence, Canadian AI 2016, Proceedings
A2 - Khoury, Richard
A2 - Drummond, Christopher
T2 - 29th Canadian Conference on Artificial Intelligence, AI 2016
Y2 - 31 May 2016 through 3 June 2016
ER -