Call for Participation
2nd ACM/IEEE International Conference on
Distributed Smart Cameras (ICDSC-08)
September 7-11, 2008
Stanford University, California, USA
- Program in a Glance
- Click here to print this page
- Technical program and helpful local information can be found in PDF here
- Program on Sunday, Sept. 7
- Program on Monday, Sept. 8
- Program on Tuesday, Sept. 9
- Program on Wednesday, Sept. 10
- Program on Thursday, Sept. 11
Dr. Gary Rost Bradski is a consulting professor in the CS department at Stanford University AI Lab where he mentors robotics, machine learning and computer vision research. He is also Senior Scientist at 
Dr. Fung's work has been in the area of applying GPU Hardware for parallel general purpose computing, including implementing Computer Vision on the GPU. He is lead author of the OpenVIDIA project, which won the ACM Multimedia 2005 Open Source Software Award. "Computer Vision on the GPU" in the popular GPU Gems 2 series of graphics programming books. This work has achieved implementation of vision algorithms on the GPU, including projective image stitching, Chirplet detection, Radon Transforms and natural feature processing and matching. He has authored over a dozen peer reviewed papers in IEEE and ACM conferences in the areas of parallel GPU Computer Vision and Mediated Reality. He currently works at NVIDIA examining computer vision and image processing on graphics hardware.
Monday, September 8
08:30 - 09:00 | Registration (Hewlett Bldg.) |
09:00 - 09:10 | Welcome (Hewlett 201) |
09:10 - 10:00 | Plenary (Hewlett 201) |
10:00 - 10:20 | Break (Hewlett patio) |
10:20 - 12:00 | Oral session 1 - Smart Cameras (Hewlett 201) |
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12:00 - 13:30 | Lunch (Hewlett patio) |
13:30 - 15:10 | Oral session 2 - Surveillance (Hewlett 201) |
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15:10 - 15:30 | Break (Hewlett patio) |
15:30 - 16:50 | Demo session 1 (Y2E2 iRoom) |
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15:30 - 16:50 | Poster session 1 (Y2E2 iRoom - paperless posters) |
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17:00 - 18:00 | Guided tour of Stanford Memorial Church |
18:00 - 19:30 | Reception, Dinner, Networking (Hewlett Plaza) |
19:30 | Shuttles to hotels |
Professor Alex ("Sandy") Pentland is a pioneer in organizational engineering, mobile information systems, and perceptual computing. Sandy's focus is the development of human-centered technology, and the creation of ventures that take this technology into the real world. His work provides people with a clearer picture of their social environment, and helps companies and communities to reinvent themselves to be both more human and productive.Tuesday, September 9
08:30 - 09:00 | Registration (Hewlett Bldg.) |
09:00 - 10:00 | Plenary (Hewlett 201) |
10:00 - 10:20 | Break (Hewlett patio) |
10:20 - 12:00 | Oral session 3 - Multicamera Geometry (Hewlett 201) |
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12:00 - 13:30 | Lunch (Hewlett patio) |
13:30 - 15:30 | Panel Discussion - Business opportunities in multi-camera and embedded vision (Hewlett 201) |
15:30 - 16:00 | Break (Hewlett patio) |
16:00 - 22:30 | Bus tour to San Francisco, Reception, Banquet, Best Paper, PhD Forum, and Service Awards, Jazz Music, return to hotels |
David Forsyth holds a BSc and an MSc in Electrical Engineering from the University of the Witwatersrand, Johannesburg, and an MA and D.Phil from Oxford University. He is currently a full professor at U. Illinois Urbana-Champaign, having served 10 years on the faculty at UC Berkeley. He has published over 100 papers on computer vision, computer graphics and machine learning. He served as program co-chair for IEEE Computer Vision and Pattern Recognition in 2000, general co-chair for CVPR 2006, program co-chair for ECCV 2008, and is a regular member of the program committee of all major international conferences on computer vision. He has received best paper awards at the International Conference on Computer Vision and at the European Conference on Computer Vision, and an IEEE Technical Achievement award.
Wednesday, September 10
08:30 - 09:00 | Registration (Hewlett Bldg.) |
09:00 - 10:00 | Plenary (Hewlett 201) |
10:00 - 10:20 | Break (Hewlett patio) |
10:20 - 12:00 | Oral session 4 - Camera Network Algorithms (Hewlett 201) |
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12:00 - 13:30 | Lunch (Hewlett patio) |
13:30 - 15:10 | Demo session 2 (Y2E2 atrium) |
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13:30 - 15:10 | Poster session 2 (Y2E2 atrium) |
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15:10 - 15:30 | Break (Hewlett patio) |
15:30 - 16:50 | Oral session 5 - Human Analysis (Hewlett 201) |
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16:50 - 17:30 | Invited talk - Lessons from a vision startup founder (Hewlett 201) |
17:30 | Best Poster Award (Hewlett 201) |
17:30 | Free evening -- organizing committee meeting at 18:00 |
Yiannis Aloimonos (PhD 1987, Univ. of Rochester) is a Professor of Computational Vision and Intelligence in the Dept. of Computer Science at the University of Maryland, College Park and the Director of the Computer Vision Laboratory at the Institute for Advanced Computer Studies. He is also affiliated with the Cognitive Science Program. He is known for his work on Active Vision and his study of vision as a dynamic process. He has contributed to the theory of Computational Vision in various ways, including the discovery of the trilinear constraints (with M. Spetsakis), and the mathematics of stability in motion analysis as a function of the field of view (with C. Fermuller), which led to the development of omni-directional sensors. He has received several awards for his work (including the Marr Prize for his work on Active Vision, the Presidential Young Investigator Award from President Bush (1990) and the Bodossaki Prize in Artificial Intelligence). He has coauthored four books, including Active Perception and Visual Navigation. He is interested in cognitive systems, specifically the integration of visual cues and the integration of vision, action and language.
Reactrix founder Matt Bell invented the company's core technology as an art project. After observing the fascination and hours of fun it inspired at a party, he was determined to bring the experience to a larger audience - much larger. He quit his job at Google and launched Reactrix. Bell now leads Reactrix' applied research and advanced product development efforts. He has a keen interest in the uses of computer visioning, machine learning and artificial intelligence, as well as in developing creative new methods of human-computer interaction. At Google, Bell was a software engineer specializing in using machine learning techniques to improve search engine quality. He also has conducted published research at Mitsubishi Electric Research Labs.
Thursday, September 11
08:30 - 09:00 | Registration (Y2E2 Bldg.) |
09:00 - 10:00 | Plenary (Y2E2 Auditorium) |
10:00 - 10:20 | Break (Y2E2 patio) |
10:20 - 12:00 | Workshop I (Y2E2 conf room) |
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10:20 - 12:00 | Workshop II (Y2E2 conf room) |
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12:00 - 13:30 | Discussion - Is Middleware for Smart Cameras and Visual Sensor Networks Required at All? |
12:00 - 13:30 | Lunch (Y2E2 patio) |
J.K. Aggarwal has served on the faculty of The University of Texas at Austin College of Engineering in the Department of Electrical and Computer Engineering since 1964. He is currently one of the Cullen Professors of Electrical and Computer Engineering. Professor Aggarwal earned his B.Sc. from University of Bombay, India in 1957, B. Eng. from University of Liverpool, Liverpool, England, 1960, M.S. and Ph.D. from University of Illinois, Urbana, Illinois, in 1961 and 1964 respectively. His research interests
include image processing, computer vision and pattern recognition. The current focus of research is on the automatic recognition of human activity and interactions in video sequences, and on the use of perceptual grouping for the automatic recognition and retrieval of images and videos from databases.