TY - GEN
T1 - Report on the BTAS 2016 Video Person Recognition Evaluation
AU - Scheirer, Walter J.
AU - Flynn, Patrick J.
AU - Ding, Changxing
AU - Guo, Guodong
AU - Štruc, Vitomir
AU - Al Jazaery, Mohamad
AU - Grm, Klemen
AU - Dobrisek, Simon
AU - Tao, Dacheng
AU - Zhu, Yu
AU - Brogan, Joel
AU - Banerjee, Sandipan
AU - Bharati, Aparna
AU - RichardWebster, Brandon
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/19
Y1 - 2016/12/19
N2 - This report presents results from the Video Person Recognition Evaluation held in conjunction with the 8th IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS). Two experiments required algorithms to recognize people in videos from the Point-and-Shoot Face Recognition Challenge Problem (PaSC). The first consisted of videos from a tripod mounted high quality video camera. The second contained videos acquired from 5 different handheld video cameras. There were 1,401 videos in each experiment of 265 subjects. The subjects, the scenes, and the actions carried out by the people are the same in both experiments. An additional experiment required algorithms to recognize people in videos from the Video Database of Moving Faces and People (VDMFP). There were 958 videos in this experiment of 297 subjects. Four groups from around the world participated in the evaluation. The top verification rate for PaSC from this evaluation is 0.98 at a false accept rate of 0.01 - a remarkable advancement in performance from the competition held at FG 2015.
AB - This report presents results from the Video Person Recognition Evaluation held in conjunction with the 8th IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS). Two experiments required algorithms to recognize people in videos from the Point-and-Shoot Face Recognition Challenge Problem (PaSC). The first consisted of videos from a tripod mounted high quality video camera. The second contained videos acquired from 5 different handheld video cameras. There were 1,401 videos in each experiment of 265 subjects. The subjects, the scenes, and the actions carried out by the people are the same in both experiments. An additional experiment required algorithms to recognize people in videos from the Video Database of Moving Faces and People (VDMFP). There were 958 videos in this experiment of 297 subjects. Four groups from around the world participated in the evaluation. The top verification rate for PaSC from this evaluation is 0.98 at a false accept rate of 0.01 - a remarkable advancement in performance from the competition held at FG 2015.
UR - http://www.scopus.com/inward/record.url?scp=85011318029&partnerID=8YFLogxK
U2 - 10.1109/BTAS.2016.7791198
DO - 10.1109/BTAS.2016.7791198
M3 - Conference contribution
AN - SCOPUS:85011318029
T3 - 2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems, BTAS 2016
BT - 2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems, BTAS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2016
Y2 - 6 September 2016 through 9 September 2016
ER -