{"title":"A Framework for the Combination of Different Arabic Handwritten Word Recognition Systems","authors":"H. E. Abed, V. Märgner","doi":"10.1109/ICPR.2010.469","DOIUrl":"https://doi.org/10.1109/ICPR.2010.469","url":null,"abstract":"In this paper we present A Framework for the Combination of Different Arabic Handwritten Word Recognition Systems to achieve a decision with a higher performance. This performance can be expressed by lower rejection rates and higher recognition rates. The used methods range from voting schemes based on results of different recognizer to a neural network decision based on normalized confidences. This work presents an extension of the well known combination methods for a large lexicon, an extension from maximum 30 classes (e.g., 10 classes for digits classification) to 937 classes for the IfN/ENIT-database. In addition, different reject rules based on the evaluation and analysis of individual and combined systems output are discussed. Different threshold function for reject levels are tested and evaluated. Tests with a set of recognizer, which participated in the ICDAR 2007 competition and based on set coming from the IfN/ENIT-database show that a word error rate (WER) of 5.29% without reject and with a reject rate less than 25% even a word error rate of less than 1%.","PeriodicalId":74516,"journal":{"name":"Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition","volume":"14 1","pages":"1904-1907"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86919723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Indriyati Atmosukarto, Linda G Shapiro, Carrie Heike
{"title":"The Use of Genetic Programming for Learning 3D Craniofacial Shape Quantifications.","authors":"Indriyati Atmosukarto, Linda G Shapiro, Carrie Heike","doi":"10.1109/ICPR.2010.598","DOIUrl":"https://doi.org/10.1109/ICPR.2010.598","url":null,"abstract":"<p><p>Craniofacial disorders commonly result in various head shape dysmorphologies. The goal of this work is to quantify the various 3D shape variations that manifest in the different facial abnormalities in individuals with a craniofacial disorder called 22q11.2 Deletion Syndrome. Genetic programming (GP) is used to learn the different 3D shape quantifications. Experimental results show that the GP method achieves a higher classification rate than those of human experts and existing computer algorithms [1], [2].</p>","PeriodicalId":74516,"journal":{"name":"Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition","volume":"2010 ","pages":"2444-2447"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ICPR.2010.598","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32721221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"QRS Complex Detection by Non Linear Thresholding of Modulus Maxima","authors":"B. Jalil, Ouadi Beya, E. Fauvet, O. Laligant","doi":"10.1109/ICPR.2010.1093","DOIUrl":"https://doi.org/10.1109/ICPR.2010.1093","url":null,"abstract":"","PeriodicalId":74516,"journal":{"name":"Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition","volume":"49 1","pages":"4500-4503"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88374540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Shape Filling Rate for Silhouette Representation and Recognition","authors":"Guocheng An, Fengjun Zhang, Hongan Wang, G. Dai","doi":"10.1109/ICPR.2010.129","DOIUrl":"https://doi.org/10.1109/ICPR.2010.129","url":null,"abstract":"","PeriodicalId":74516,"journal":{"name":"Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition","volume":"130 1","pages":"507-510"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78431876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Juan Alfonso Rosell Ortega, G. A. García, Ángel Rodas Jordá, Vicente Luis Atienza Vanacloig
{"title":"A Combined Self-Configuring Method for Object Tracking in Colour Video","authors":"Juan Alfonso Rosell Ortega, G. A. García, Ángel Rodas Jordá, Vicente Luis Atienza Vanacloig","doi":"10.1109/ICPR.2010.1154","DOIUrl":"https://doi.org/10.1109/ICPR.2010.1154","url":null,"abstract":"","PeriodicalId":74516,"journal":{"name":"Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition","volume":"85 1","pages":"2081-2084"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81222901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vicente Luis Atienza Vanacloig, Juan Alfonso Rosell Ortega, G. A. García, J. M. González
{"title":"Locating People in Images by Optimal Cue Integration","authors":"Vicente Luis Atienza Vanacloig, Juan Alfonso Rosell Ortega, G. A. García, J. M. González","doi":"10.1109/ICPR.2010.445","DOIUrl":"https://doi.org/10.1109/ICPR.2010.445","url":null,"abstract":"","PeriodicalId":74516,"journal":{"name":"Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition","volume":"51 1","pages":"1804-1807"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84607082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Time-series clustering by approximate prototypes","authors":"Ville Hautamäki, Pekka Nykänen, P. Fränti","doi":"10.1109/ICPR.2008.4761105","DOIUrl":"https://doi.org/10.1109/ICPR.2008.4761105","url":null,"abstract":"Clustering time-series data poses problems, which do not exist in traditional clustering in Euclidean space. Specifically, cluster prototype needs to be calculated, where common solution is to use cluster medoid. In this work, we define an optimal prototype as an optimization problem and propose a local search solution to it. We experimentally compare different time-series clustering methods and find out that the proposed prototype with agglomerative clustering followed by k-means algorithm provides best clustering accuracy.","PeriodicalId":74516,"journal":{"name":"Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition","volume":"28 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76263201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. Atienza-Vanacloig, J. Rosell-Ortega, G. Andreu-García, J. Valiente-González
{"title":"People and luggage recognition in airport surveillance under real-time constraints","authors":"V. Atienza-Vanacloig, J. Rosell-Ortega, G. Andreu-García, J. Valiente-González","doi":"10.1109/ICPR.2008.4761004","DOIUrl":"https://doi.org/10.1109/ICPR.2008.4761004","url":null,"abstract":"This paper describes an approach to classify people, groups of people and luggage in the halls of an airport. The algorithm is included into a surveillance system which tracks and classifies objects and transmits this information to a higher computational level which fuses the information of several cameras covering overlapping areas. Two kind of features are used: foreground density features and features related to real-size of objects, obtained by applying a homographic model. A classification schema based on k-nn classifiers and a voting system makes the classification process highly robust. On-line and off-line experiments are introduced.","PeriodicalId":74516,"journal":{"name":"Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition","volume":"23 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83253931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Rosell-Ortega, G. Andreu-García, A. Rodas-Jordá, V. Atienza-Vanacloig
{"title":"Background modelling in demanding situations with confidence measure","authors":"J. Rosell-Ortega, G. Andreu-García, A. Rodas-Jordá, V. Atienza-Vanacloig","doi":"10.1109/ICPR.2008.4761047","DOIUrl":"https://doi.org/10.1109/ICPR.2008.4761047","url":null,"abstract":"Background subtraction is a popular technique in video surveillance. In order to use it, a background model must be built and updated according to light and scenario changes. We discuss in this paper a new algorithm (BAC) which creates or restores a background model based on the behaviour of pixels in successive frames, while performs a segmentation of objects in the scene yielding a confidence value for the obtained background, a problem which is addressed by few methods in the literature. This allows us to fulfil the requirement of producing a model, for instance in scenarios like airport halls, without interfering normal operation and still segment scenes.","PeriodicalId":74516,"journal":{"name":"Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition","volume":"45 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88919758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jianhua Yao, Nilo Avila, Andrew Dwyer, Angelo M Taveira-Dasilva, Olanda M Hathaway, Joel Moss
{"title":"Computer-Aided Grading of Lymphangioleiomyomatosis (LAM) using HRCT.","authors":"Jianhua Yao, Nilo Avila, Andrew Dwyer, Angelo M Taveira-Dasilva, Olanda M Hathaway, Joel Moss","doi":"10.1109/ICPR.2008.4760991","DOIUrl":"https://doi.org/10.1109/ICPR.2008.4760991","url":null,"abstract":"<p><p>Lymphangioleiomyomatosis (LAM) is a multisystem disorder associated with proliferation of smooth muscle-like cells, which leads to destruction of lung parenchyma. Subjective grading of LAM on HRCT is imprecise and can be arduous especially in cases with severe involvement. We propose a computer-aided evaluation system that grades LAM involvement based on analysis of lung texture patterns. A committee of support vector machines is employed for classification. The system was tested on 36 patients. The computer grade demonstrates good correlation with subjective radiologist grade (R=0.91, p<0.0001) and pulmonary functional tests (R=0.85, p<0.0001). The grade also provides precise progression assessment of disease over time.</p>","PeriodicalId":74516,"journal":{"name":"Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition","volume":"2008 8-11 Dec. 2008","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ICPR.2008.4760991","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29901468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}