Report on the FG 2015 video person recognition evaluation

Author

J.R. BEVERIDGE
H. ZHANG
B.A. DRAPER
P.J. FLYNN
Z. FENG
P. HUBER
J. KITTLER
Zhiwu HUANG, Singapore Management UniversityFollow
LI S.
LI Y.
M. KAN
R. WANG
S. SHAN
X. CHEN
LI H.
G. HUA
V. STRUC
J. KRIZAJ
C. DING
D. TAO

Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

5-2015

Abstract

This report presents results from the Video Person Recognition Evaluation held in conjunction with the 11th IEEE International Conference on Automatic Face and Gesture Recognition. 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 1401 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. Five groups from around the world participated in the evaluation. The video handheld experiment was included in the International Joint Conference on Biometrics (IJCB) 2014 Handheld Video Face and Person Recognition Competition. The top verification rate from this evaluation is double that of the top performer in the IJCB competition. Analysis shows that the factor most effecting algorithm performance is the combination of location and action: where the video was acquired and what the person was doing.

Keywords

Cameras; Face recognition; Video cameras

Discipline

Databases and Information Systems

Research Areas

Data Science and Engineering

Publication

Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015, Ljubljana, Slovenia, 2015 May 4-8.

ISBN

9781479960262

Identifier

10.1109/FG.2015.7163156

Publisher

Institute of Electrical and Electronics Engineers Inc.

City or Country

New York

Citation

BEVERIDGE, J.R.; ZHANG, H.; DRAPER, B.A.; FLYNN, P.J.; FENG, Z.; HUBER, P.; KITTLER, J.; HUANG, Zhiwu; LI S.; LI Y.; KAN, M.; WANG, R.; SHAN, S.; CHEN, X.; LI H.; HUA, G.; STRUC, V.; KRIZAJ, J.; DING, C.; and TAO, D.. Report on the FG 2015 video person recognition evaluation. (2015). Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015, Ljubljana, Slovenia, 2015 May 4-8..
Available at: https://ink.library.smu.edu.sg/sis_research/6548

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.