Pattern Recognition Applications and Methods: 9th International Conference, ICPRAM 2020, Valletta, Malta, February 22–24, 2020, Revised Selected Papers PDF
Preview Pattern Recognition Applications and Methods: 9th International Conference, ICPRAM 2020, Valletta, Malta, February 22–24, 2020, Revised Selected Papers
Maria De Marsico Gabriella Sanniti di Baja Ana Fred (Eds.) Pattern Recognition 4 9 Applications and 5 2 1 S Methods C N L 9th International Conference, ICPRAM 2020 Valletta, Malta, February 22–24, 2020 Revised Selected Papers Lecture Notes in Computer Science 12594 Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking University, Beijing, China Bernhard Steffen TU Dortmund University, Dortmund, Germany Gerhard Woeginger RWTH Aachen, Aachen, Germany Moti Yung Columbia University, New York, NY, USA More information about this subseries at http://www.springer.com/series/7412 Maria De Marsico Gabriella Sanniti di Baja (cid:129) (cid:129) Ana Fred (Eds.) Pattern Recognition Applications and Methods 9th International Conference, ICPRAM 2020 – Valletta, Malta, February 22 24, 2020 Revised Selected Papers 123 Editors Maria De Marsico Gabriella Sannitidi Baja Sapienza Universitàdi Roma ICAR Roma, Italy Consiglio Nazionale delleRicerche Naples, Napoli, Italy Ana Fred Instituto deTelecomunicações Lisbon, Portugal University of Lisbon Lisbon, Portugal ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notesin Computer Science ISBN 978-3-030-66124-3 ISBN978-3-030-66125-0 (eBook) https://doi.org/10.1007/978-3-030-66125-0 LNCSSublibrary:SL6–ImageProcessing,ComputerVision,PatternRecognition,andGraphics ©SpringerNatureSwitzerlandAG2020 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartofthe material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodologynow knownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbookare believedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsortheeditors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregardtojurisdictionalclaimsin publishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSwitzerlandAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Preface This book includes the extended and revised versions of a set of selected papers from the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), held in Valletta, Malta, during February 22–24, 2020. ICPRAM is a major point of contact between researchers, engineers, and practi- tioners ontheareas ofpattern recognitionandmachine learning,both fromtheoretical and application perspectives. Contributions describing applications of pattern recog- nition techniques to real-world problems, interdisciplinary research, experimental, and/or theoretical studies yielding new insights that advance pattern recognition methods are especially encouraged. ICPRAM 2020 received 102 paper submissions from 33 countries, of which the seven papers in this book constitute the 7%. The seven papers were selected by the event chairs and their selection was based on a number of criteria that include the classifications and comments provided by the Program Committee members, the ses- sionchairs’assessment,andalsotheprogramchairs’globalviewofallpapersincluded inthetechnicalprogram.Theauthorsoftheselectedpapersweretheninvitedtosubmit arevisedandextendedversionoftheirpapers,havingatleast30%innovativematerial. The first four papers in the book are in the applications area, while the remaining three papers are in the theory and methods area. In the first paper, the authors face the problem of building a universal classifier for trafficsignrecognition.Theclassifierhastodealwithlargeintra-classvariationsinthe classesandalsosimilaritiesamongvarioussignclasses.Authorsuseattentionnetwork for country independent classification. The new building block architecture shows significant improvement of classification accuracy with respect to building block architecture (VGG) used in a previous paper. In the second paper, multi-object tracking and segmentation (MOTS) of moving objects in traffic video datasets are considered. A novel method for tracking multiple objects (MaskADNet) is proposed, which uses masked images as input for training ADNet. The segmentation masks obtained after tracking using MaskADNet have a better Jaccard index or Intersection over Union for masks. The third paper deals with emotion recognition (ER). Authors discuss methods for analyzingthenon-linguistic componentofvocalizedspeechandproposeamethodfor producing lower dimensional representations of sound spectrograms that respect their temporal structure. By taking into account that most modern day consumer cameras are affected by somelevelofradialdistortion,whichmustbecompensatedforinordertogetaccurate estimates, authors of the fourth paper propose a novel polynomial solver for radially distorted planar motion compatible homographies. The suggested algorithm is shown to work well inside a RANSAC loop on both synthetic and real data. Inthefifthpaper,dataacquiredinanaturalmixedforestbymeansofanunmanned aerial vehicle are considered. A suitable pre-processing step is introduced after which vi Preface six common clustering algorithms are used to detect tree tops and five different deep learning architectures are employed to classify tree tops depending on the degree of affectationduetoaparasiteinfestation.Classificationresultsreacherrorratesaslowas 0.096. The sixth paper deals with deep neural networks (DNNs) and investigates how to reduce model complexity – without performance degradation – by pruning useless connections. Authors try toanswer thequestion of“howsimilararerepresentations in prunedandunprunedmodels?”andshowthattheresultsdependcriticallyontheused similarity measure. Finally, in the last paper, the authors analyze multiple approaches in indefinite learningandsuggestanovel,efficientpreprocessingoperationwhichwidelypreserves the domain-specific information, while still providing a Mercer kernel function. In particular, we address practical aspects like a outof sample extensionand an effective implementation of the approach. An extensive experimental work is done on various typical data sets obtaining superior results in the field. Wewouldliketothankalltheauthorsfortheircontributionsandalsothereviewers who helped ensure the quality of this publication. February 2020 Maria De Marsico Gabriella Sanniti di Baja Ana Fred Organization Conference Chair Ana Fred Instituto de Telecomunicações and University of Lisbon, Portugal Program Co-chairs Maria De Marsico Sapienza Università di Roma, Italy Gabriella Sanniti di Baja CNR, Italy Program Committee Andrea Abate University of Salerno, Italy Ashraf AbdelRaouf Misr International University (MIU), Egypt Rahib Abiyev Near East University, Turkey Lale Akarun Bogazici University, Turkey Mayer Aladjem Ben-Gurion University of the Negev, Israel Rocío Alaiz-Rodríguez Universidad de León, Spain Mahmood Azimi-Sadjadi Colorado State University, USA Silvio Barra University of Cagliari, Italy Stefano Berretti University of Florence, Italy Monica Bianchini University of Siena, Italy Isabelle Bloch Télécom ParisTech, Université Paris-Saclay, France Andrea Bottino Politecnico di Torino, Italy Paula Brito Universidade do Porto, Portugal Fabian Bürger Valeo Vision, France Marinella Cadoni Università degli Studi di Sassari, Italy Javier Calpe Universitat de València, Spain Virginio Cantoni Università degli Studi di Pavia, Italy Guillaume Caron Université de Picardie Jules Verne, France Rama Chellappa University of Maryland, USA Sergio Cruces Universidad de Sevilla, Spain Rozenn Dahyot Trinity College Dublin, Ireland Luiza de Macedo Mourelle State University of Rio de Janeiro, Brazil Yago Diez Yamagata University, Japan Jean-Louis Dillenseger Université de Rennes 1, France Duane Edgington Monterey Bay Aquarium Research Institue, USA Kjersti Engan University of Stavanger, Norway Haluk Eren Firat University, Turkey Giorgio Fumera University of Cagliari, Italy Vicente Garcia Autonomous University of Ciudad Juárez, Mexico viii Organization Angelo Genovese Università degli Studi di Milano, Italy Markus Goldstein Ulm University of Applied Sciences, Germany Petra Gomez-Krämer La Rochelle University, France Rocio Gonzalez-Diaz University of Seville, Spain Bernard Gosselin University of Mons, Belgium Marco Granato Università degli Studi di Milano, Italy Michal Haindl Institute of Information Theory and Automation, Czech Republic Lawrence Hall University of South Florida, USA Kouichi Hirata Kyushu Institute of Technology, Japan Sean Holden University of Cambridge, UK Yi-zeng Hsieh National Taiwan Ocean University, Taiwan, China Su-Yun Huang Academia Sinica, Taiwan, China Akinori Ito Tohoku University, Japan Yuji Iwahori Chubu University, Japan Sarangapani Jagannathan Missouri University of Science and Technology, USA Xiaoyi Jiang University of Münster, Germany Bertrand Kerautret Université Lumière Lyon 2, LIRIS, France Lisimachos Kondi University of Ioannina, Greece Mario Köppen Kyushu Institute of Technology, Japan Constantine Kotropoulos Aristotle University of Thessaloniki, Greece Sotiris Kotsiantis University of Patras, Greece Kidiyo Kpalma INSA Rennes, France Malgorzata Kretowska Bialystok University of Technology, Poland Marek Kretowski Bialystok University of Technology, Poland Marco La Cascia Università degli Studi di Palermo, Italy Shang-Hong Lai National Tsing Hua University, Taiwan, China Shi-wook Lee National Institute of Advanced Industrial Science and Technology, Japan Young-Koo Lee Kyung Hee University, South Korea Nicolas Lermé Université Paris-Sud, France Chang-Tsun Li Deakin University, Australia Aristidis Likas University of Ioannina, Greece Laurence Likforman Télécom Paris, France Josep Llados Universitat Autònoma de Barcelona, Spain Eduardo Lleida Universidad de Zaragoza, Spain Luca Lombardi University of Pavia, Italy Yonggang Lu Lanzhou University, China Teresa Ludermir Universidade Federal de Pernambuco, Brazil Alessandra Lumini Università di Bologna, Italy Juan Luo George Mason University, USA Marco Maggini University of Siena, Italy Juan Manuel Corchado University of Salamanca, Spain Elena Marchiori Radboud University, The Netherlands Gian Marcialis Università degli Studi di Cagliari, Italy Organization ix Urszula Wroclaw University of Technology, Poland Markowska-Kaczmar Francisco Martínez Álvarez Pablo de Olavide University of Seville, Spain J. Martínez-Trinidad Instituto Nacional de Astrofísica, Óptica y Electrónica, Mexico Pascal Matsakis University of Guelph, Canada Erzsébet Merényi Rice University, USA Alessio Micheli University of Pisa, Italy Delia Mitrea Technical University of Cluj-Napoca, Romania Ramón Mollineda Cárdenas Universitat Jaume I, Spain Muhammad Marwan Coventry University, UK Muhammad Fuad Marco Muselli CNR, Italy Mohamed Nait-Meziane Université de Tours, France Jakub Nalepa Silesian University of Technology, Poland Mita Nasipuri Jadavpur University, India Mikael Nilsson Lund University, Sweden Lawrence O’Gorman Nokia Bell Labs, USA Il-Seok Oh Chonbuk National University, South Korea Simon O’Keefe University of York, UK Yoshito Otake Nara Institute of Science and Technology, Japan Guenther Palm University of Ulm, Germany Pornntiwa Pawara University of Groningen, The Netherlands Petra Perner Institute of Computer Vision and Applied Computer Sciences, Germany Mikhail Petrovskiy Lomonosov Moscow State University, Russia Dara Pir Guttman Community College, USA Vincenzo Piuri Università degli Studi di Milano, Italy Stephen Pollard HP Labs, UK Lionel Prevost ESIEA, France Wei Quan University of Central Lancashire, UK Jagath Rajapakse Nanyang Technological University, Singapore Oriol Ramos Terrades Universitat Autònoma de Barcelona, Spain Daniel Riccio University of Naples Federico II, Italy Marcos Rodrigues Sheffield Hallam University, UK Fernando Rubio Universidad Complutense de Madrid, Spain Rafel Rumi University of Almería, Spain José Saavedra Orand S.A, Chile Lorenza Saitta Università degli Studi del Piemonte Orientale, Italy J. Salvador Sánchez Universitat Jaume I, Spain Antonio-José Universitat Politecnica de Valencia, Spain Sánchez-Salmerón Carlo Sansone University of Naples Federico II, Italy K. C. Santosh University of South Dakota, USA Simone Scardapane Sapienza University of Rome, Italy Michele Scarpiniti Sapienza University of Rome, Italy
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