September 2012 Embedded Vision Summit Proceedings
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The Embedded Vision Summit was held on September 19, 2012 in Boston, Massachusetts, as a technical educational forum for engineers interested in incorporating visual intelligence into electronic systems and software.
The program for the event included the following presentations, whose PDF-formatted foilsets are available for download as a consolidated ZIP file:
- Morning Keynote Presentation: "Emotion Technology: Enabling Machines to Understand How We Feel," Professor Rosalind Picard, MIT
- "Introduction to Embedded Vision," Jeff Bier, Embedded Vision Alliance
Session 1: "Embedded Vision Applications and Algorithms"
- "Image Processing for Object Recognition and Tracking," Dan Isaacs, Xilinx, and Michael Fawcett, iVeia
- "Moving Object Segmentation for Security and Surveillance Applications," Goksel Dedeoglu, Texas Instruments
- "Automotive Safety Applications and Algorithms," Gabby Yi, Analog Devices
- Afternoon Keynote Presentation: "OpenCV: Past, Present, and Future", Gary Bradski, OpenCV Foundation
Session 2: "Using Processors for Embedded Vision"
- "Harnessing Hardware Accelerators to Move from Algorithms to Embedded Vision," Michael Tusch, Apical
- "Using FPGAs to Accelerate Embedded Vision Applications," Kamalina Srikant, National Instruments
- "Challenges and Techniques in Using CPUs and GPUs for Embedded Vision," Ken Lee, VanGogh Imaging
- Session 3: "Using...