DocumentCode :
2872181
Title :
Algorithm performance contest
Author :
Aksoy, Selim ; Ye, Ming ; Schauf, Michael L. ; Song, Mingzhou ; Wang, Yalin ; Haralick, Robert M. ; Parker, Jim R. ; Pivovarov, Juraj ; Royko, Dominik ; Sun, Changming ; Farneback, G.
Author_Institution :
Intelligent Syst. Lab., Washington Univ., Seattle, WA, USA
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
870
Abstract :
This contest involved the running and evaluation of computer vision and pattern recognition techniques on different data sets with known groundwidth. The contest included three areas; binary shape recognition, symbol recognition and image flow estimation. A package was made available for each area. Each package contained either real images with manual groundtruth or programs to generate data sets of ideal as well as noisy images with known groundtruth. They also contained programs to evaluate the results of an algorithm according to the given groundtruth. These evaluation criteria included the generation of confusion matrices, computation of the misdetection and false alarm rates and other performance measures suitable for the problems. The paper summarizes the data generation for each area and experimental results for a total of six participating algorithms
Keywords :
computer vision; image recognition; image sequences; binary shape recognition; confusion matrices; false alarm rates; groundtruth; image flow estimation; misdetection rates; symbol recognition; Computer science; Image recognition; Intelligent systems; Laboratories; Noise generators; Noise shaping; Packaging; Shape; Sun; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.903054
Filename :
903054
Link To Document :
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