Report on the FG 2015 Video Person Recognition Evaluation
Report on the FG 2015 Video Person Recognition Evaluation
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DOI：
10.1109/fg.2015.7163156
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发表时间：
2015-05
期刊：
影响因子：
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通讯作者：
J. Beveridge;Hao Zhang;B. Draper;P. Flynn;Zhenhua Feng;P. Huber;J. Kittler;Zhiwu Huang;
中科院分区：
文献类型：
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作者：
J. Beveridge;Hao Zhang;B. Draper;P. Flynn;Zhenhua Feng;P. Huber;J. Kittler;Zhiwu Huang;
本报告介绍了与第11届IEEE自动人脸和手势识别国际会议联合举行的视频人物识别评估的结果。两个实验需要算法来识别视频中的人，这些人来自点和射击人脸识别挑战问题（PaSC）。第一个是由三脚架安装的高质量摄像机拍摄的视频。第二个包含从5个不同的手持摄像机获取的视频。在265名受试者的每个实验中有1401个视频。在两个实验中，受试者、场景和人们的行为都是一样的。来自世界各地的五个团体参加了评价。视频手持实验被列入国际生物识别联合会议（IJCB）2014年手持视频人脸和人物识别比赛。该评估的最高验证率是IJCB竞争中最高执行者的两倍。分析表明，最影响算法性能的因素是位置和动作的组合：视频在哪里获取以及人在做什么。
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.