In this paper we present a robust system of symbol recognition using a structural approach. Our key objective here is to provide a system, equaling the statistical ones in robustness concerning the recognition, to apply next to localization. To do it we have investigated two particular structural methods: the straight line detection using Hough Transform and the vector templates matching. Experiments done on the GREC2003 database show how their combination allows to obtain high recognition results.
International audienceIn this paper we summarize the framework and the results of the fourth edition of the International Symbol Recognition Contest, organized in the context of GREC'11. The contest follows the series started at the GREC'03 workshop and it is the first time that, in addition to recognition of isolated symbols, the contest includes the evaluation of symbol spotting. In this report we describe the evaluation framework - including datasets and evaluation measures - and we summarize the results obtained by the only participant method
Performance evaluation is receiving increasing interest in graphics recognition. In this paper, we discuss some questions regarding the definition of a general framework for evaluation of symbol recognition methods. The discussion is centered on three key elements in performance evaluation: test data, evaluation metrics and protocols of evaluation. As a result of this discussion we state some general principles to be taken into account for the definition of such a framework. Finally, we describe the application of this framework to the organization of the first contest on symbol recognition in GREC'03, along with the results obtained by the participants.
Many physical activities, from traditional games to emerging practices, have been and still are confronted with the 'sportification' process. Sports historians and sociologists have produced numerous isolated monographs to try and comprehend this development.Through the compared analysis of three activities -break-dancing, spelaeology and mixed martial arts -this study prolongs the modelling effort initiated by Renson to understand the fundamental elements which simultaneously encourage and slow down this process. It shows that this conflict crystallises around the degree of standardisation of a practice and its institutional recognition. To protect the original identity of these activities, their sportification process cannot be completed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.