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October 2013 Embedded Vision Summit Technical Presentation: “Designing a Multi-Core Architecture Tailored for Pedestrian Detection Algorithms,” Tom Michiels, Synopsys

Aerospace and Defense, Algorithms, Automotive, Face Detection, Object Identification, Object Tracking, Processors, Retail, Security, Software, Synopsys, Videos /

Tom Michiels, R&D Manager at Synopsys, presents the "Designing a Multi-Core Architecture Tailored for Pedestrian Detection Algorithms" tutorial within the "Algorithms and Implementations" technical session at the October 2013 Embedded Vision Summit East. Pedestrian detection is an important function in a wide range of applications, including automotive safety systems, mobile applications, and industrial automation. A […]

October 2013 Embedded Vision Summit Technical Presentation: “Designing a Multi-Core Architecture Tailored for Pedestrian Detection Algorithms,” Tom Michiels, Synopsys Read More +

September 2013 Qualcomm UPLINQ Conference Presentation: “Accelerating Computer Vision Applications with the Hexagon DSP,” Eric Gregori, BDTI

Algorithms, Augmented Reality, Automotive, BDTI, Biometrics, Emotion Discernment, Entertainment, Face Detection, Face Recognition, Gesture Control, Object Identification, Object Tracking, Optical Character Recognition, Processors, Robotics, Security, Software, Tools, Videos /

Eric Gregori, Senior Software Engineer at BDTI, presents the "Accelerating Computer Vision Applications with the Hexagon DSP" tutorial at the September 2013 Qualcomm UPLINQ Conference. Smartphones, tablets and embedded systems increasingly use sophisticated vision algorithms to deliver capabilities like augmented reality and gesture user interfaces. Since vision algorithms are computationally demanding, a key challenge when

September 2013 Qualcomm UPLINQ Conference Presentation: “Accelerating Computer Vision Applications with the Hexagon DSP,” Eric Gregori, BDTI Read More +

October 2013 Embedded Vision Summit Technical Presentation: “Embedded Lucas-Kanade Tracking: How it Works, How to Implement It, and How to Use It,” Goksel Dedeoglu, Texas Instruments

Aerospace and Defense, Algorithms, Automotive, Industrial Vision (Computer Vision), Object Tracking, Retail, Robotics, Security, Software, Texas Instruments, Videos /

Goksel Dedeoglu, Embedded Vision R&D Manager at Texas Instruments, presents the "Embedded Lucas-Kanade Tracking: How it Works, How to Implement It, and How to Use It" tutorial within the "Algorithms and Implementations" technical session at the October 2013 Embedded Vision Summit East. This tutorial is intended for technical audiences interested in learning about the Lucas-Kanade

October 2013 Embedded Vision Summit Technical Presentation: “Embedded Lucas-Kanade Tracking: How it Works, How to Implement It, and How to Use It,” Goksel Dedeoglu, Texas Instruments Read More +

October 2013 Embedded Vision Summit Technical Presentation: “Feature Detection: How It Works, When to Use It, and a Sample Implementation,” Marco Jacobs, videantis

Aerospace and Defense, Algorithms, Automotive, Entertainment, Face Detection, Industrial Vision (Computer Vision), Medical, Object Tracking, Processors, Retail, Robotics, Security, videantis, Videos /

Marco Jacobs, Technical Marketing Director at videantis, presents the "Feature Detection: How It Works, When to Use It, and a Sample Implementation" tutorial within the "Object and Feature Detection" technical session at the October 2013 Embedded Vision Summit East. Feature detection and tracking are key components of many computer vision applications. In this talk, Jacobs

October 2013 Embedded Vision Summit Technical Presentation: “Feature Detection: How It Works, When to Use It, and a Sample Implementation,” Marco Jacobs, videantis Read More +

“Embedding Computer Vision in Everyday Life,” a Keynote Presentation from iRobot

Aerospace and Defense, Algorithms, Automotive, Edge AI and Vision Alliance, Entertainment, Industrial Vision (Computer Vision), Information Access and Analytics, Medical, Object Identification, Retail, Robotics, Security, Software, Tools, Videos /

Mario E. Munich, Vice President of Advanced Development at iRobot, presents the "Embedding Computer Vision in Everyday Life" keynote at the October 2013 Embedded Vision Summit East. Munich speaks about adapting highly complex computer vision technologies to cost-effective consumer robotics applications. Munich currently manages iRobot's research and advanced development efforts. He was formerly the CTO

“Embedding Computer Vision in Everyday Life,” a Keynote Presentation from iRobot Read More +

October 2013 Embedded Vision Alliance Member Meeting Keynote: “Augmented Reality Opportunities and Challenges: From Novelty to Productivity,” Ori Inbar, AugmentedReality.org

Aerospace and Defense, Algorithms, Augmented Reality, Automotive, Edge AI and Vision Alliance, Sensors, Videos /

Ori Inbar, Founder and CEO of AugmentedReality.org, delivers the keynote, "Augmented Reality Opportunities and Challenges: From Novelty to Productivity," at the October 2013 Embedded Vision Alliance Member Meeting. In this presentation, Ori explains how augmented reality (which relies heavily on embedded vision) is transitioning from a bleeding-edge technology embraced mainly by enthusiasts to a mainstream

October 2013 Embedded Vision Alliance Member Meeting Keynote: “Augmented Reality Opportunities and Challenges: From Novelty to Productivity,” Ori Inbar, AugmentedReality.org Read More +

“High Speed Vision and Its Applications,” a Presentation from Professor Masatoshi Ishikawa

Aerospace and Defense, Algorithms, Automotive, Edge AI and Vision Alliance, Entertainment, Gesture Control, Industrial Vision (Computer Vision), Medical, Object Tracking, Robotics, Sensors, Software, Videos /

Professor Masatoshi Ishikawa of Tokyo University delivers the keynote presentation, "High Speed Vision and Its Applications — Sensor Fusion, Dynamic Image Control, Vision Architecture, and Meta-Perception," at the July 2013 Embedded Vision Alliance Member Meeting. High speed vision processing and various applications based on it are expected to become increasingly common due to continued improvement

“High Speed Vision and Its Applications,” a Presentation from Professor Masatoshi Ishikawa Read More +

Moving Object Detection Through Background Subtraction, Part Two

Algorithms, Automotive, Object Tracking, Processors, Robotics, Security, Software, Texas Instruments, Tools, Videos /

Jeff Bier, founder of the Embedded Vision Alliance, interviews Goksel Dedeoglu, Manager of Embedded Vision R&D at Texas Instruments. Beginning with a hands-on demonstration of TI's Vision Library VLIB on a DaVinci DM6437 evaluation board, Jeff and Goksel touch upon various aspects of embedded vision engineering: algorithm design and prototyping in a PC environment, embedded

Moving Object Detection Through Background Subtraction, Part Two Read More +

Moving Object Detection Through Background Subtraction, Part One

Algorithms, Automotive, Object Tracking, Processors, Robotics, Security, Software, Texas Instruments, Tools, Videos /

Jeff Bier, founder of the Embedded Vision Alliance, interviews Goksel Dedeoglu, Manager of Embedded Vision R&D at Texas Instruments. Beginning with a hands-on demonstration of TI's Vision Library (VLIB) on a DaVinci DM6437 evaluation board, Jeff and Goksel touch upon various aspects of embedded vision engineering: algorithm design and prototyping in a PC environment, embedded

Moving Object Detection Through Background Subtraction, Part One Read More +

April 2013 Embedded Vision Summit Technical Presentation: “Vision-Based Automotive Driver Assistance Systems: Challenges and Approaches,” Paul Zoratti, Xilinx

Algorithms, AMD, Automotive, Object Tracking, Processors, Software, Tools, Videos /

Paul Zoratti, Automotive Driver Assistance System Architect at Xilinx, presents the "Vision-Based Automotive Driver Assistance Systems: Challenges and Approaches" tutorial within the "Embedded Vision Applications" technical session at the April 2013 Embedded Vision Summit.

April 2013 Embedded Vision Summit Technical Presentation: “Vision-Based Automotive Driver Assistance Systems: Challenges and Approaches,” Paul Zoratti, Xilinx Read More +

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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