Anupam Agrawal

Work place: Indian Institute of Information Technology, Allahabad, India



Research Interests: Image Processing, Image Manipulation, Image Compression, Computer Vision, Human-Computer Interaction


Anupam Agrawal is presently working as a Professor of Computer Science and Information Technology at Indian Institute of Information Technology Allahabad (IIIT-A). Before joining IIIT-A in the year 2000, he was working as scientist `D' at DEAL, DRDO, Govt. of India, Dehradun. He received his M.Tech. degree in Computer Science and Engineering from Indian Institute of Technology Madras, Chennai and Ph.D. degree in Information Technology from Indian Institute of Information Technology Allahabad (in association with Indian Institute of Technology, Roorkee). He was a postdoctoral researcher at the Department of Computer Science & Technology, University of Bedfordshire (UK) during which he had contributed significantly in two major European projects. His research interests include Computer Vision, Image Processing, Visual Computing, Soft- Computing and Human-Computer Interaction. He has more than 75 publications related to these areas in various international journals and conference proceedings, and has co-authored one book. He is on the review board for various international journals including IEEE, Springer, MDPI, Taylor & Francis and Elsevier. He is currently serving as a Principal Investigator of an international (Indo-UK) Project. He is a member of ACM (USA), senior member of IEEE (USA) and a fellow of IETE (India). He is also serving as Chairman of the ACM Chapter at IIIT-A.

Author Articles
Real Time Multiple Hand Gesture Recognition System for Human Computer Interaction

By Siddharth S. Rautaray Anupam Agrawal

DOI:, Pub. Date: 8 May 2012

With the increasing use of computing devices in day to day life, the need of user friendly interfaces has lead towards the evolution of different types of interfaces for human computer interaction. Real time vision based hand gesture recognition affords users the ability to interact with computers in more natural and intuitive ways. Direct use of hands as an input device is an attractive method which can communicate much more information by itself in comparison to mice, joysticks etc allowing a greater number of recognition system that can be used in a variety of human computer interaction applications. The gesture recognition system consist of three main modules like hand segmentation, hand tracking and gesture recognition from hand features. The designed system further integrated with different applications like image browser, virtual game etc. possibilities for human computer interaction. Computer Vision based systems has the potential to provide more natural, non-contact solutions. The present research work focuses on to design and develops a practical framework for real time hand gesture.

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