Processors Archives

Embedded Vision: FPGAs’ Next Notable Technology Opportunity

Algorithms, AMD, Articles, Automotive, BDTI, Face Detection, Object Tracking, Processors, Security, Software, Technical Articles / February 1, 2012

By Brian Dipert Editor-In-Chief Embedded Vision Alliance Senior Analyst BDTI This article was originally published in the First Quarter 2012 issue (PDF) of the Xilinx Xcell Journal. It is reprinted here with the permission of Xilinx. A jointly developed reference design validates the potential of Xilinx’s Zynq device in a burgeoning application category. By Brian […]

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Gesture Recognition–First Step Toward 3D UIs?

Algorithms, Articles, Gesture Control, Processors, Sensors and Cameras, Software, Technical Articles, Texas Instruments / January 30, 2012

by Dong-Ik Ko and Gaurav Agarwal Texas Instruments This article was originally published in the December 2011 issue of Embedded Systems Programming. Gesture recognition is the first step to fully 3D interaction with computing devices. The authors outline the challenges and techniques to overcome them in embedded systems. As touchscreen technologies become more pervasive, users

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Implementing an Image Signal Processing Pipeline using FPGAs

AMD, Processors, Sensors and Cameras, Videos / November 30, 2011

By José Alvarez Video Technology Engineering Director Xilinx Corporation José Alvarez, Video Technology Engineering Director at Xilinx Corporation, follows up his premier video in this tutorial series with the discussion of a flexible ISP (image signal processing) implementation using readily available dynamic processing blocks in an FPGA.

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Dynamic Range And Edge Detection: An Example Of Embedded Vision Algorithms’ Dependence On In-Camera Image Processing

Algorithms, Arm, Articles, Processors, Software, Technical Articles / November 28, 2011

By Michael Tusch Founder and CEO Apical Limited This article will expand on the theme initiated in the premier article of this series, that of exploring how the pixel processing performed in cameras can either enhance or hinder the performance of embedded vision algorithms. Achieving natural or otherwise aesthetically pleasing camera images is normally considered

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Implementing Vision Capabilities in Embedded Systems

Algorithms, Articles, BDTI, Face Detection, Object Tracking, Processors, Software, Technical Articles / November 25, 2011

by Jeff Bier Founder and President, BDTI September 29, 2011 This paper was originally published at the 2011 Embedded Systems Conference Boston. Abstract—With the emergence of increasingly capable processors, it’s becoming practical to incorporate computer vision capabilities into a wide range of embedded systems, enabling them to analyze their environments via video inputs. Products like

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Automotive Driver Assistance Systems: Using the Processing Power of FPGAs

AMD, Articles, Automotive, Object Tracking, Processors, Technical Articles / November 25, 2011

By Paul Zoratti Driver Assistance Senior System Architect Automotive Division Xilinx Corporation This is a reprint of a Xilinx-published white paper which is also available here (344 KB PDF). In the last five years, the automotive industry has made remarkable advances in driver assistance (DA) systems that truly enrich the driving experience and provide drivers

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Demonstration of Optical Flow algorithm on an FPGA

Algorithms, BDTI, Object Tracking, Processors, Videos / November 25, 2011

This BDTI project evaluated high-level synthesis tools that use C code (or other high-level languages) to generate FPGA designs. As part of the tool evaluation, BDTI implemented an optical flow algorithm operating on high-definition video using a sub-$30 FPGA.

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Using FPGAs to Interface to and Process Data from Image Sensors

AMD, Processors, Sensors and Cameras, Videos / November 25, 2011

By José Alvarez Video Technology Engineering Director Xilinx Corporation José Alvarez, Video Technology Engineering Director at Xilinx Corporation, discusses the benefits of using FPGAs to interconnect with diverse-interface image sensors, and to process the data coming from those sensors.

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Interview With Professor Jitendra Malik, UC Berkeley, Part One (August 17, 2011)

Algorithms, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Tools, Videos / November 25, 2011

Jeff Bier, Founder of the Embedded Vision Alliance, interviews Jitendra Malik, Arthur J. Chick Professor of EECS at the University of California at Berkeley, on August 17, 2011. Bier and Malik discuss computer vision's history, current status, and future trends. This is part one of a three-part video series. Please click here for part two.

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Interview With Professor Jitendra Malik, UC Berkeley, Part Two (August 17, 2011)

Algorithms, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Tools, Videos / November 25, 2011

Jeff Bier, Founder of the Embedded Vision Alliance, interviews Jitendra Malik, Arthur J. Chick Professor of EECS at the University of California at Berkeley, on August 17, 2011. Bier and Malik discuss computer vision's history, current status, and future trends. This is part two of a three-part video series. Please click here for part three.

Interview With Professor Jitendra Malik, UC Berkeley, Part Two (August 17, 2011) Read More +

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Processors

Embedded Vision: FPGAs’ Next Notable Technology Opportunity

Gesture Recognition–First Step Toward 3D UIs?

Implementing an Image Signal Processing Pipeline using FPGAs

Dynamic Range And Edge Detection: An Example Of Embedded Vision Algorithms’ Dependence On In-Camera Image Processing

Implementing Vision Capabilities in Embedded Systems

Automotive Driver Assistance Systems: Using the Processing Power of FPGAs

Demonstration of Optical Flow algorithm on an FPGA

Using FPGAs to Interface to and Process Data from Image Sensors

Interview With Professor Jitendra Malik, UC Berkeley, Part One (August 17, 2011)

Interview With Professor Jitendra Malik, UC Berkeley, Part Two (August 17, 2011)

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