Performance evaluation of object detection algorithms

TitlePerformance evaluation of object detection algorithms
Publication TypeConference Papers
Year of Publication2002
AuthorsMariano VY, Min J, Park J-H, Kasturi R, Mihalcik D, Li H, Doermann D, Drayer T
Conference NamePattern Recognition, 2002. Proceedings. 16th International Conference on
Date Published2002///
Keywordsalgorithms;, common, data, DETECTION, detection;, Evaluation, evaluation;, image, object, performance, recognition;, resource, set;, system;, text-detection, video

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.