TY - CONF T1 - Performance evaluation of object detection algorithms T2 - Pattern Recognition, 2002. Proceedings. 16th International Conference on Y1 - 2002 A1 - Mariano,V.Y. A1 - Min,Junghye A1 - Park,Jin-Hyeong A1 - Kasturi,R. A1 - Mihalcik,D. A1 - Huiping Li A1 - David Doermann A1 - Drayer,T. KW - algorithms; KW - common KW - data KW - DETECTION KW - detection; KW - Evaluation KW - evaluation; KW - image KW - object KW - performance KW - recognition; KW - resource KW - set; KW - system; KW - text-detection KW - video AB - The continuous development of object detection algorithms is ushering in the need for evaluation tools to quantify algorithm performance. In this paper a set of seven metrics are proposed for quantifying different aspects of a detection algorithm's performance. The strengths and weaknesses of these metrics are described. They are implemented in the Video Performance Evaluation Resource (ViPER) system and will be used to evaluate algorithms for detecting text, faces, moving people and vehicles. Results for running two previous text-detection algorithms on a common data set are presented. JA - Pattern Recognition, 2002. Proceedings. 16th International Conference on VL - 3 M3 - 10.1109/ICPR.2002.1048198 ER -