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Archive for the ‘Distinguished Lecture’ Category

Distinguished Lecture: Towards Autonomous Video Surveillance

Wednesday, January 8th, 2020

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IEEE SIGNAL PROCESSING SOCIETY BANGALORE CHAPTER

&

DEPARTMENT OF ECE, INDIAN INSTITUTE OF SCIENCE

IEEE SPS DISTINGUISHED LECTURE

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Title: Towards Autonomous Video Surveillance

 

Speaker: Prof. Janusz Konrad, Boston University

 

Time: 1630-1730 hrs (coffee/tea at 4.15pm)

 

Date:  Thursday, 16 Jan 2020

 

Venue: Golden Jubilee Seminar Hall, Dept. of ECE, Indian Institute of Science Bangalore

 

Abstract:

It is estimated that in 2014 there were over 100 million surveillance cameras in the world. Fueled by security concerns, this number continues to steadily grow. As monitoring of video feeds by human operators is not scalable, automatic surveillance tools are needed. In this talk, I will cover a complete video surveillance processing chain, developed over years at Boston University, from low-level video analysis to summarization of dynamic events. I will focus on three fundamental questions posed in video surveillance: “How to detect anomalous events in a visual scene? How to classify those events? How to represent them succinctly?’’ First, I will present “behavior subtraction’’, an extension of “background subtraction’’ to scenes with dynamic backgrounds (e.g., water surface that is notoriously difficult to handle), which can detect complex anomalies in surveillance video. Then, in order to classify activities within the detected anomalies, I will discuss activity recognition on covariance manifolds. Finally, I will describe “video condensation’’, a computational method to succinctly summarize activities of interest for efficient evaluation by human operators.

 

Bio:

Janusz Konrad received Master’s degree from Technical University of Szczecin, Poland in 1980 and PhD degree from McGill University, Montréal, Canada in 1984. He joined INRS-Télécommunications, Montréal as a post-doctoral fellow and, since 1992, as a faculty member. Since 2000, he has been on faculty at Boston University. He is an IEEE Fellow and a recipient of several IEEE and EURASIP Best Paper awards. He has been actively engaged in the IEEE Signal Processing Society as a member of various boards and technical committees, as well as an organizer of conferences. He has also been on editorial boards of various EURASIP journals. His research interests include video processing and computer vision, stereoscopic and 3-D imaging and displays, visual sensor networks, human-computer interfaces, and cybersecurity.

 

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ALL ARE WELCOME


Lecture Flyer

IEEE Distinguished Lecture on July 19, 2013

Tuesday, July 9th, 2013

IEEE Signal Processing Society, Bangalore Chapter, IEEE Bangalore Section
Department of Electrical Communication Engineering, IISc  
invite you to a lecture by

Prof. V John Mathews (University of Utah, Salt Lake City, UT 84112)
on “Restoration of Motor Skills in Patients with Disorders of the Central Nervous System”

Venue : Golden Jubilee Seminar Hall, ECE, IISc
Time & Date: 4:00 PM, Friday, July 19, 2013

Abstract

Recent technological innovations such as functional neural stimulation (FNS) offer considerable benefits to paralyzed individuals. FNS can produce movement in paralyzed muscles by the application of electrical stimuli to the nerves innervating the muscles. The first part of this talk will describe how smooth muscle movements can be evoked using Utah slanted electrode arrays (USEAs) inserted into the motor nerves of the peripheral nervous system. The standard 4 x 4 mm USEAs contain 100 electrodes of varying lengths. Implantation of a USEA in a peripheral nerve allows highly selective electrical access to individual and small groups of axons. We will review approaches for designing asynchronously interleaved stimulation signals applied via individual electrodes in the arrays to evoke smooth, fatigueresistant force that closely resembles normal motor function. The second part of this talk will describe efforts to decode cortical surface potentials, recorded with dense grids of microelectrodes. Decoding human intent from neural signals is a critical component of brain-computer interfaces. This information can then be used to control the muscles in tasks involving restoration of motor skills or to control a robot that performs desired tasks. We will discuss recent work on decoding neural data collected from patients implanted with microelectrode arrays. The talk will conclude with a discussion of some of the current research challenges in this area.

Short Biography of the speaker

Dr. V. John Mathews is a Professor of Electrical and Computer Engineering at the University of Utah. His research interests are in nonlinear and adaptive signal processing and application of signal processing techniques in audio and communication systems, biomedical engineering, and structural health management. He chaired the department of Electrical and Computer Engineering at the University of Utah during 1999-2003. Dr. Mathews is a Fellow of IEEE. He served as the Vice President (Finance) of the IEEE Signal Processing Society during 2003-2005 and the Vice President (Conferences) of the Society during 2009-2011. He is a past associate editor of the IEEE Transactions on Signal Processing, and the IEEE Signal Processing Letters and the IEEE Journal of Selected Topics in Signal Processing and currently serves on the editorial board of the IEEE Signal Processing Magazine. He was a recipient of the 2008-09 Distinguished Alumnus Award from the National Institute of Technology, Tiruchirappalli, India, and the Utah Engineers Council’s Engineer of the Year Award in 2011. He serves now as a Distinguished Lecturer of the IEEE Signal Processing Society for 2013 and 2014.