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ITRC 해외연사초청 세미나

2012.10.25 21:29

정도성 Views:50590

ITRC 해외연사 초청 세미나

 

일시: 2012.08.25(토) 15:30 ~ 18:15

세부 일정:

15:30 ~ 16:45 - A "Big-Data" Framework for Decision-Making in Transportation Systems (Prof. Cyus Shahabi)

16:45 ~ 17:00 (Coffee Break)

17:00 ~ 18:15 - Real-time Traffic Video Analysis Using Intel Viewmont Co-precessor (Prof. Seon Kim)

 

A "Big-Data" Framework for Decision-Making in Transportation Systems

Abstract

In this talk, I first introduce the vision, research and projects of the Integrated Media Systems Center (IMSC), a graduated NSF Engineering Research Center at USC in the area of multimedia.  The current research focus of IMSC is on a new geo-socio-temporal computing paradigm, termed Geo-Immersion.   Geo-Immersion enables humans to capture, model and integrate real-world data into a geo-realistic virtual replica of the world for immersive data access, querying and analysis.  Then, I focus on one of the IMSC’s project in the area of transportation.

The vast amounts of transportation datasets (traffic flow, incidents, etc.) collected by various federal and state agencies are extremely valuable in 1) real-time decision-making, planning, and management of the transportation systems, and 2) conducting research to develop new policies to enhance the efficacy of the transportation systems.  In this talk, I will present our data-driven framework, dubbed TransDec (short for Transportation Decision-Making), which enables real-time integration, visualization, querying, and analysis of dynamic and archived transportation data. I will show that considering the large size of the transportation data, variety of the data (different modalities and resolutions), and frequent changes of the data, implementation of such a scalable system that allows for effective querying and analysis of both archived and real-time data is an intrinsically challenging data management task. Consequently, I will discuss our initial approach to this problem and demonstrate its implementation within the TransDec framework.

Bio

shahabi.jpg

Cyrus Shahabi is a Professor of Computer Science and Electrical Engineering and the Director of the Information Laboratory (InfoLAB) at the Computer Science Department and also the Director of the NSF's Integrated Media Systems Center (IMSC) at the University of Southern California. He is also the CTO and co-founder of a USC spin-off, Geosemble Technologies. He received his B.S. in Computer Engineering from Sharif University of Technology in 1989 and then his M.S. and Ph.D. Degrees in Computer Science from the University of Southern California in May 1993 and August 1996, respectively. He authored two books and more than two hundred research papers in the areas of databases, GIS and multimedia. Dr. Shahabi has received funding from several agencies such as NSF, NIJ, NASA, NIH, DARPA, AFRL, and DHS as well as several industries such as Chevron, Google, HP, Intel, Microsoft, NCR and NGC. He was an Associate Editor of IEEE Transactions on Parallel and Distributed Systems (TPDS) from 2004 to 2009. He is currently on the editorial board of the VLDB Journal, IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Computers in Entertainment and Journal of Spatial Information Science. He is the founding chair of IEEE NetDB workshop and also the general co-chair of ACM GIS 2007, 2008 and 2009. He chaired the nomination committee of ACM SIGSPATIAL for the 2011-2014 terms. He regularly serves on the program committee of major conferences such as VLDB, ACM SIGMOD, IEEE ICDE, ACM SIGKDD, and ACM Multimedia. Dr. Shahabi is a recipient of the ACM Distinguished Scientist award in 2009, the 2003 U.S. Presidential Early Career Awards for Scientists and Engineers (PECASE), the NSF CAREER award in 2002, and the 2001 Okawa Foundation Research Grant for Information and Telecommunications. He was the recipient of US Vietnam Education Foundation (VEF) faculty fellowship award in 2011 and 2012, an organizer of the 2011 National Academy of Engineering “Japan-America Frontiers of Engineering” program, an invited speaker in the 2010 National Research Council (of the National Academies) Committee on New Research Directions for the National Geospatial-Intelligence Agency, and a participant in the 2005 National Academy of Engineering “Frontiers of Engineering” program.

 

 

Real-time Traffic Video Analysis Using Intel Viewmont Co-precessor

Speaker:Seon Ho Kim, Ph.D.

Associate Director

Integrated Media Systems Center

Viterbi School of Engineering

University of Southern California

Los Angeles, California, USA

Abstract

During the past year, USC IMSC has been continuously collecting and archiving the LA-MTA (Metropolitan Transportation Authority) loop detector data from a collection of approximately 6300 sensors located on the highways and arterial streets of Los Angeles County (covering 3420 paved miles). The main traffic flow data collected from these sensors are occupancy, volume, and speed. One of the main shortcomings of these under-pavement traffic loop detectors is that they are expensive to install and maintain.  Moreover, they cannot be replaced or fixed without disturbing traffic. Therefore, we have been studying computer vision techniques to extract traffic flow data from CCTV traffic cameras.  However, there are two challenges with this approach. First, since image-processing techniques are CPU-intensive, for real-time traffic data extraction from traffic videos, accuracy needs to be sacrificed.  Second, the traffic measurements extracted from CCTV cameras have not been validated in various situations.

We can address both aforementioned challenges with vision-based techniques in a partnership with Intel.  First, utilizing the Intel’s Viewmont coprocessor, a dedicated hardware for video analysis, we can benefit from the extra processing power (and time) to easily incorporate more accurate vision-based techniques.  Second, our connections with LA-MTA allow us to validate the vision-based system by comparing the sensor measurements obtained from MTA’s cameras and loop detectors that cover the same road segment.

Short Bio of the Speaker:

Dr. Seon Ho Kim is currently working as an Associate Director in the Integrated Media Systems Center (IMSC) at the University of Southern California. Before joining IMSC, he worked at the University of Denver and the University of the District of Columbia as faculty for eleven years. He received his BS degree in Electronic Engineering from the Yonsei University, Seoul, Korea in 1986. He also received his MS in Electrical Engineering and Ph.D. in Computer Science from the University of Southern California, California, in 1994 and 1999, respectively.

Dr. Kim's primary research interests include multimedia systems, databases, GIS, and mobile video data management, where he has more than 50 publications including a textbook, major journal papers, and top conference papers. He has been serving the research community as conference program committee member, journal editorial board member and reviewer.

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