Head of Computer Vision and Pattern Recognition Unit
Indian Statistical Institute, India
Talk Title: Air Writing Recognition without Depth Sensor
Abstract: Air writing recognition has many applications and with the rapid development of depth sensors in recent years such as Kinect and LEAP Motion, the possibility of air writing systems has been emerged. Depth sensors and computer vision techniques are used to track finger tip followed by recognition of the gesture using a trained model. But these sensors are not widely available to common devices which restrict these systems to be easily accessible to common people. While depth sensors are not widely available, normal camera is embedded in many commonly used devices such as mobile phones, tablets, laptops, desktop webcams etc. Therefore a generic camera based air writing system could be greatly beneficial. In this talk, camera based air writing recognition system will be discussed. In Indian Statistical Institute, we have developed some systems on handwriting recognition including air writing recognition and I plan to demonstrate some of such systems to the audience for better understanding of the techniques.
Biography: Umapada Pal received his Ph.D. in 1997 from Indian Statistical Institute and Post Doctoral from INRIA (Institut National de Recherche en Informatique et en Automatique), France. From January 1997, he is a Faculty member of Computer Vision and Pattern Recognition Unit of the Indian Statistical Institute, Kolkata and at present he is Professor and Head of CVPRU. His fields of research interest include different pattern recognition problems like Digital Document Processing, Video text processing, Biometrics, Document Retrieval, Keyword spotting etc. He has published 335 research papers in various international journals, conference proceedings and edited volumes. Because of his significant impact in the Document Analysis research, in 2003 he received “ICDAR Outstanding Young Researcher Award” from International Association for Pattern Recognition (IAPR). In 2005-2006 Dr. Pal has received JSPS fellowship from Japan government. In 2008, 2011 and 2012, Dr. Pal received visiting fellowship from Spain, France and Australia governments, respectively. Dr. Pal has been serving as General/Program/Organizing Chair of many conferences including International Conference on Document Analysis and Recognition (ICDAR), International Conference on Frontiers of Handwritten Recognition (ICFHR), International Workshop on Document Analysis and Systems (DAS), Asian Conference on Pattern recognition (ACPR) etc. Also he has served as a program committee member of more than 60 international events. He has many international research collaborations and supervising Ph.D. students of 5 foreign universities. Currently he is serving as associate editor of five journals: Pattern Recognition, ACM Transactions of Asian Language Information Processing (ACM-TALIP), Pattern recognition Letters (PRL), International Journal of Document Analysis and Recognition, and IET Biometrics. Also he has served as a Guest editor of several special issues. He is a Fellow of International Association for Pattern Recognition.
Technische Universität Braunschweig, Germany
Talk title: State of the competitions on IFN/ENIT dataset
The British Library, United Kingdom
Talk Title: Arabic collections in the British Library
Friedrich-Schiller-Universität Jena, Germany
Talk Title: Identifying and dating scribes’ hands in pre-modern Arabic manuscripts: guess-work, intuition or intersubjectively comprehensible argumentation?