May 2014 Embedded Vision Summit West Conference Program

 

Computer Vision for Next-Generation Products

The event for software and hardware developers who want to incorporate visual intelligence into their products

29 May 2014 • 8 am to 7:30 pm
Santa Clara Convention Center • Santa Clara, CA USA

The Embedded Vision Summit program is designed for product creators who want to gain practical knowledge in the design of systems and software that use embedded vision. The program will revolve around two themes: visual recognition and visual intelligence. Within these broad themes, individual talks will cover algorithms, applications, and implementation challenges and techniques.

Under the visual recognition theme, we will cover vision technologies that enable machines to detect and understand specific objects in images, such as people, bicycles, or license plates. Presentations will cover topics such as facial expression, gesture interfaces, and contextual understanding. To hear about the state-of-the-art in recognition, don’t miss the morning keynote "Convolutional Networks:  Unleashing the Potential of Machine Learning for Robust Perception Systems" by Yann LeCun of Facebook and New York University.

Under the visual autonomy theme, we will cover technologies that support semi- or fully-autonomous machine behaviors, such as self-driving cars and drones. Presentations will cover topics such as visual tracking, localization, detection and reasoning about obstacles in the world for safe operation. To hear about the state-of-the-art in autonomy, don’t miss the afternoon keynote "Self-Driving Cars" by Nathaniel Fairfield of Google.

The May 2014 Embedded Vision Summit West is now concluded.

Event Agenda

8:00-9:00AM: Registration

9:00-9:20AM: Welcome remarks by Jeff Bier, Embedded Vision Alliance

9:20-9:30AM: Program overview by Goksel Dedeoglu, PercepTonic

9:30-10:30AM: Keynote presentation "Convolutional Networks: Unleashing the Potential of Machine Learning for Robust Perception Systems" by Yann LeCun, Facebook and New York University

10:30-11:00AM: Morning Break

Track 1

Session 1A: Object Detection – How To Spot Objects In Images

11:00-11:30AM: "How to Create a Great Object Detector" by Avinash Nehemiah, MathWorks

11:30AM-12:00PM: "Taming the Beast: Performance and Energy Optimization Across Embedded Feature Detection and Tracking" by Chris Rowen, Cadence

Track 2

Session 2A: Object Recognition –How To Identify Specific Objects In Images

11:00-11:30AM: "Fast 3D Object Recognition in Real-World Environments" by Ken Lee, VanGogh Imaging

11:30AM-12:00PM: "Programming Novel Recognition Algorithms on Heterogeneous Architectures" by Kees Vissers, Xilinx

12:00-1:00PM: Lunch

12:00: Technology Showcase opens (until 7:30PM)

1:00-2:00PM: Keynote presentation "Self-Driving Cars" by Nathaniel Fairfield, Google

Session 1B: Interactivity And Augmented Reality – Visual Systems That Interact

2:00-2:30PM: "How to Make the World More Interactive: Augmented Reality as the Interface Between Wearable Tech and the Internet of Things" by Ori Inbar, AugmentedReality.org

2:30-3:00PM: "Vision-Based Gesture User Interfaces" by Francis MacDougall, Qualcomm

3:00-3:30PM: "Evolving Algorithmic Requirements for Recognition and Classification in Augmented Reality" by Simon Morris, CogniVue

Session 2B: Developing Systems With Visual Tracking And Motion

2:00-2:30PM: "Multiple Uses of Pipelined Video Pre-Processor Hardware in Vision Applications" by Rajesh Mahapatra, Analog Devices

2:30-3:00PM: "Embedded Lucas-Kanade Tracking: How it Works, How to Implement It, and How to Use It" by Goksel Dedeoglu, PercepTonic

3:00-3:30PM: "What's New in Tools for Vision Application Design and Development?" by Jeff Bier, BDTI

Technology Showcase

3:30-4:00PM: Afternoon Break

Session 1C: Developing Hardware And Software for Next-Generation Vision Systems

4:00-4:30PM: "The OpenVX Hardware Acceleration API for Embedded Vision Applications and Libraries" by Neil Trevett, Khronos

4:30-5:00PM: "Computer Vision Powered by Heterogeneous System Architecture (HSA)" by Harris Gasparakis, AMD

5:00-5:30PM: "Trends and Recent Developments in Processors for Vision" by Jeff Bier, BDTI

Session 2C: Object Detection –How to Spot Objects in Images

4:00-4:30PM: "Challenges in Object Detection on Embedded Devices" by Adar Paz, CEVA

4:30-5:00PM: "Implementing Histogram of Oriented Gradients on a Parallel Vision Processor" by Marco Jacobs, videantis

5:00-5:30PM: "Combining Flexibility and Low-Power in Embedded Vision Subsystems: An Application to Pedestrian Detection" by Bruno Lavigueur, Synopsys

Technology Showcase

5:30-7:30PM: Reception

Technology Showcase open until 7:30PM

Additional Information

If you have other questions about the Embedded Vision Summit West, please contact us at summit@embedded-vision.com.

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