SPS Chicago Chapter Seminar – Large Scale Visual Data Analytics for Geospatial Applications – by Prof. Gaurav Sharma (01-22-2020)

SPS Chicago Chapter Seminar
Department of Electrical and Computer Engineering
Speaker: Prof. Gaurav Sharma
Departments of Electrical and Computer Engineering, Computer Science,
Biostatistics and Computational Biology
University of Rochester

Date: Wednesday, January 22, 2020
Time: 1:00 PM
Location: 1000 SEO, 851 S. Morgan St, Chicago, IL 60607

Title: Large Scale Visual Data Analytics for Geospatial Applications

Abstract: The widespread availability of high-resolution aerial imagery covering wide geographical areas is spurring a revolution in large scale visual data analytics. Specifically, modern aerial wide-area motion imagery (WAMI) platforms capture large high resolution at rates of 1-3 frames per second. The sequences of images, which individually span several square miles of ground area, represent rich spatio-temporal datasets that are key enablers for new applications. The effectiveness of such analytics can be enhanced by combining WAMI with alternative sources of rich geo-spatial information such as road maps or prior georegistered images. We present results from our recent research in this area covering three topics. First, we describe a novel method for pixel-accurate, real-time registration of vector roadmaps to WAMI imagery based on moving vehicles in the scene. Next, we present a framework for tracking WAMI vehicles across multiple frames by using the registered roadmap and a new probabilistic framework that allows us to better estimate associations across multiple frames in a computationally tractable algorithm. Finally, in the third part, we highlight, how we can combine structure from motion and our proposed registration approach to obtain 3D georegistration for use in application such as change detection. We present results on multiple WAMI datasets, including nighttime infrared WAMI imagery, highlighting the effectiveness of the proposed methods through both visual and numerical comparisons.

Bio: Gaurav Sharma is a professor in the Departments of Electrical and Computer Engineering, Computer Science, and Biostatistics and Computational Biology, and a Distinguished Researcher in the Center of Excellence in Data Science (CoE) at the Goergen Institute for Data Science at the University of Rochester. He received the Ph.D. degree in Electrical and Computer engineering from North Carolina State University, Raleigh in 1996. From 1993 through 2003, he was with the Xerox Innovation Group in Webster, NY, most recently in the position of Principal Scientist and Project Leader. His research interests include data analytics, cyber-physical systems, signal and image processing, computer vision, and media security; areas in which he has 53 patents and has authored over 220 journal and conference publications. He currently serves as the Editor-in-Chief for the IEEE Transactions on Image Processing. From 2011 through 2015, he served as the Editor-in-Chief for the Journal of Electronic Imaging and, in the past, has served as an associate editor for the Journal of Electronic Imaging, the IEEE Transactions on Image Processing, and for the IEEE Transactions on Information Forensics and Security. He is a member of the IEEE Publications, Products, and Services Board (PSPB) and chaired the IEEE Conference Publications Committee in 2017-18. He is the editor of the Digital Color Imaging Handbook published by CRC press in 2003. Dr. Sharma is a fellow of the IEEE, a fellow of SPIE, a fellow of the Society for Imaging Science and Technology (IS&T) and has been elected to Sigma Xi, Phi Kappa Phi, and Pi Mu Epsilon. In recognition of his research contributions, he received an IEEE Region I technical innovation award in 2008. Dr. Sharma is a 2020-2021 Distinguished Lecturer for the IEEE Signal Processing Society.

Faculty Hosts: Prof. Dan Schonfeld, dans@uic.edu, Prof. Mojtaba Soltanalian, msol@uic.edu.

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