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Research Intern, AYIN Group, INRIA-SAM
Keywords: Stochastic Modeling, Remote Sensing, Parameter Estimation, Optimization, Image Processing, Hierarchical MRF, Markov Random Fields, Change Detection. Contact: |
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Abstract:
My work at INRIA is concerned with Change detection in Aerial as well as Satellite Images (both with large time differences) using Hierarchical Markov Random field model. The first part concerns the probability density function estimation via two features namely- HOG difference as well gray level difference computed over the two images with large time difference. The second part involves construction of a hierarchical markov random field over these features followed by the application of min cut / max flow algorithm for energy minimization. The final goal of my internship would be to classify these foreground / changes.
Short Bio:
Praveer SINGH is a 2nd year Masters of Engineering (diplome d’ingenieur) student at the École nationale supérieure des telecommunications, ENST Paris (Telecom Paris-tech), one of the most prestigious and selective grandes écoles located in Paris,France. He has been awarded with the prestigious Telecom Foundation scholarship as well as the EGIDE scholarship (French Embassy scholarship for excellence) for pursuing his master’s program.
Currently he is undergoing his studies at Institut Eurécom, a school which has been established by Telecom Paris-tech in collaboration with EPFL at Sophia-Antipolis,France. His major field of study is in Multimedia Technology.
Praveer SINGH holds an undergraduate degree in Electrical Engineering from National Institute of Technology (NIT) Kurukshetra one of the renowned engineering schools in India.
During his undergraduate study, he had some professional experience as a Research Assistant in the fields of SAR Imaging, Image Processing and Multi-modal Biometrics. He is also a recipient of the famous DAAD scholarship for carrying out one of his summer research internship at TU Darmstadt, Germany.
His areas of interest include Image and Video Processing, Stochastic Modeling, Change Detection, Computer Vision, Machine Learning, Pattern Recognition, Video Surveillance, Biometrics.
