Surveillance 2017 Session Program
Tuesday January 31, 2017
Surveillance: Applications and Algorithms Topics
Session Chair:
Sreenath Vantaram, Intel Corporation (United States)
8:50 – 10:00 AM
Harbour A,B
8:50
Chair Opening Remarks
9:00SRV-349
Traffic light recognition and dangerous driving events detection from surveillance video of vehicle camera, Haike Guan, Ryohsuke Kasahara, and Tomoaki Yano, Ricoh Company, Ltd. (Japan)
9:20SRV-350
A combined HOG and deep convolution network cascade for pedestrian detection, Yuriy Lipetski and Oliver Sidla, SLR Engineering GmbH (Austria)
9:40SRV-352
A multi-scale approach to skin pixel detection, Siddharth Roheda1 and Hari Kalva2; 1North Carolina State University and 2Florida Atlantic University (United States)
10:00 AM – 7:30 PM Industry Exhibition
10:00 – 10:50 AM Coffee Break
EI 2017 Tuesday Plenary and Symposium Awards
Session Chairs: Joyce E. Farrell, Stanford University, and Nitin Sampat, Rochester Institute of Technology (United States)
2:00 – 3:00 PM
Grand Peninsula Ballroom D
VR 2.0: Making virtual reality better than reality, Gordon Wetzstein, Stanford University (United States)
Gordon Wetzstein is an Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science, at Stanford University, and leads the Stanford Computational Imaging Group. He received a PhD in computer science from the University of British Columbia (2011) where his doctoral dissertation focused on computational light modulation for image acquisition and display. In his talk, Wetzstein explores the frontiers of VR systems engineering. Eventually, VR/AR systems will redefine communication, entertainment, education, collaborative work, simulation, training, telesurgery, and basic vision research, as next-generation computational near-eye displays evolve to deliver visual experiences that are better than the real world.
3:00 – 3:30 PM Coffee Break
5:30 – 7:30 PM Symposium Demonstration Session, Grand Peninsula Ballroom E