RESEARCH PROJECTS

PREDICTIVE DESIGN AND TESTING, A PART OF THE SUSTAINABLE COATINGS AND RATIONAL DESIGN (SusCoRD)

    The aim of this project is to build a computational model to predict the measured corrosion variables and thereby help to design corrosion protection coatings.[details]


CHILD GESTURE AND THEIR LANGUAGE

    In this work, we present an automatic child gesture recognition system, which has wide application in child language analysis and other areas in Cognitive Science communities.


  • Soumitra Samanta, Colin Bannard, Julian Pine and The Language05 Team, Can Automated Gesture Recognition Support the Study of Child Language Development?, 42nd Annual Virtual Meeting of the Cognitive Science Society (CogSci), 2020 [details]
VISSION AND LANGUAGE [details]
HUMAN POSE TRACKING

    In this work, we present a human pose tracking method with a new part descriptor. We formulate the human pose tracking problem as a discrete optimization problem based on spatio-temporal pictorial structure model and solve this problem in dynamic programming framework very efficiently.


  • Soumitra Samanta and Bhabatosh Chanda, A Data-driven Approach for Human Pose Tracking Based on Spatio-temporal Pictorial Structure[details]
FACET SPACE TIME INTEREST POINTS (FaSTIP)

    In this work we present a novel Space Time Interest Point detection (STIP) method based on 3D facet model, we call it as FaSTIP. Also we propose a new point descriptor based on 3D wavelet transform.


  • Soumitra Samanta and Bhabatosh Chanda, Space-time Facet Model for Human Activity Classification, IEEE Trans. on Multimedia, 2014 [details]
COMPUTER VISION IN CULTURAL CONTEXT

    In this project we consider a cultural activity classification problem, namely classification of Indian Classical Dance (ICD). To best of our knowledge this is a novel application of computer vision.


  • Soumitra Samanta, Pulak Purkait and Bhabatosh Chanda, Indian Classical Dance Classification by Learning Dance Pose Bases, IEEE Workshop on the Applications of Computer Vision (WACV), 2012 [details]
FUNDUS RETINAL IMAGE ANALYSIS

    Fundus retinal image has many parts (fovea region, blood vessels etc.), those are extremly important to diagnosis different eye diseases. Here we proposed an algorithm to efficiently detect the fovea region in fundus retinal image.


  • Soumitra Samanta, Sanjoy Kumar Saha and Bhabatosh Chanda, A Simple and Fast Algorithm to Detect the Fovea Region in Fundus Retinal Image, Second International Conference on Emerging Applications of Information Technology (EAIT), 2011 [pdf] [bibtex]