ICB-RW 2016:野外生物识别的国际挑战

J. Neves, Hugo Proença
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引用次数: 13

摘要

生物特征识别在完全野生的条件下,如在视觉监控场景中观察到的尚未实现。ICB-RW竞赛的推广是为了支持这一努力,这是第一个在监测场景中实际产生的数据中进行的生物识别挑战。比赛依靠一种创新的主从监视系统来获取远距离和移动中的面部图像。本文描述了比赛的细节,并报告了参与者算法所取得的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ICB-RW 2016: International challenge on biometric recognition in the wild
Biometric recognition in totally wild conditions, such as the observed in visual surveillance scenarios has not been achieved yet. The ICB-RW competition was promoted to support this endeavor, being the first biometric challenge carried out in data that realistically result from surveillance scenarios. The competition relied on an innovative master-slave surveillance system for the acquisition of face imagery at-a-distance and on-the-move. This paper describes the competition details and reports the performance achieved by the participants algorithms.
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