Paper Info
Title
The IJCB 2014 PaSC video face and person recognition competition
Abstract
The Point-and-Shoot Face Recognition Challenge (PaSC) is a performance evaluation challenge including 1401 videos of 265 people acquired with handheld cameras and depicting people engaged in activities with non-frontal head pose. This report summarizes the results from a competition using this challenge problem. In the Video-to-video Experiment a person in a query video is recognized by comparing the query video to a set of target videos. Both target and query videos are drawn from the same pool of 1401 videos. In the Still-to-video Experiment the person in a query video is to be recognized by comparing the query video to a larger target set consisting of still images. Algorithm performance is characterized by verification rate at a false accept rate of 0.01 and associated receiver operating characteristic (ROC) curves. Participants were provided eye coordinates for video frames. Results were submitted by 4 institutions: (i) Advanced Digital Science Center, Singapore; (ii) CPqD, Brasil; (iii) Stevens Institute of Technology, USA; and (iv) University of Ljubljana, Slovenia. Most competitors demonstrated video face recognition performance superior to the baseline provided with PaSC. The results represent the best performance to date on the handheld video portion of the PaSC.
Year
DOI
Venue
2014
10.1109/BTAS.2014.6996256
Biometrics
Keywords
DocType
Citations 
cameras,face recognition,pose estimation,query processing,sensitivity analysis,video signal processing,Advanced Digital Science Center,Brasil,CPqD,IJCB PaSC video face-and-person recognition competition,Point-and-Shoot Face Recognition Challenge,ROC curves,Singapore,Slovenia,Stevens Institute of Technology,USA,University of Ljubljana,algorithm performance characterization,eye coordinates,false accept rate,handheld cameras,nonfrontal head pose,performance evaluation challenge,query video,receiver operating characteristic curves,still images,still-to-video experiment,target videos,verification rate,video frames,video-to-video Experiment
Conference
9
PageRank 
References 
Authors
0.49
15
13
Name
Order
Citations
PageRank
J. Ross Beveridge11716190.52
Hao Zhang21034.63
Patrick J. Flynn34405307.04
Yooyoung Lee4392.65
Venice Erin Liong527210.11
Jiwen Lu63105153.88
Marcus A. Angeloni7473.59
Tiago de Freitas Pereira890.49
Haoxiang Li990.49
Gang Hua102796157.90
Vitomir Struc1123626.44
Janez Križaj12395.27
P. Jonathon Phillips139209801.62