Algorithms

CircularTrafficSignRecognition

Circular Traffic Sign Recognition on a 500 MHz Texas Instruments DM6437 EVM Board

Traffic sign recognition is one of emerging capabilities of advanced driver assistance and safety systems. In this demonstration, images captured by a 30 fps color camera are fed to algorithms running on a DM6437 EVM board and analyzed to detect circular traffic signs. When red circles are detected, they are further analyzed and classified within […]

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Smart Enhanced Back-Up Camera (SmartEBC) for CV220X Image Cognition Processors

By Tina Jeffrey Program Manager CogniVue This  is a reprint of a CogniVue-published white paper in the company's Knowledge Center, and is also available here (1.2 MB PDF). The CogniVue Smart Enhanced BackUp Camera (SmartEBC) is a revolutionary automotive rear-view camera application that analyzes image data from a single image sensor to track objects in

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“Get Smart” With TI’s Embedded Analytics Technology

By Gaurav Agarwal, Frank Brill, Bruce Flinchbaugh, Branislav Kisacanin, Mukesh Kumar, and Jacek Stachurski Texas Instruments This is a reprint of a Texas Instruments-published white paper, which is also available here (2.1 MB PDF). Overview When a driver starts a car, he doesn’t think about starting an intelligent analytics system; sometimes, that’s precisely what he’s

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Improve Perceptual Video Quality: Skin-Tone Macroblock Detection

By Paula Carrillo, Akira Osamoto, and Adithya K. Banninthaya Texas Instruments Accurate skin-tone reproduction is important in conventional still and video photography applications, but it's also critical in some embedded vision implementations; for accurate facial detection and recognition, for example. And intermediary lossy compression between the camera and processing circuitry is common in configurations that

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March 2012 Embedded Vision Alliance Summit Panel Discussion

Jeff Bier, Founder of the Embedded Vision Alliance and co-founder and president of BDTI, moderates the panel discussion "Beyond Kinect; From Research to Revenue," at the March 2012 Embedded Vision Summit. Also participating are Jim Donlon (Project Manager, DARPA), Bruce Kleinman (Corporate Vice President, Platform Marketing, Xilinx), Bruce Flinchbaugh (Fellow and Manager of Vision R&D,

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Start Developing OpenCV Applications Immediately Using the BDTI Quick-Start OpenCV Kit (Article)

OpenCV is an open-source software component library for computer vision application development.  OpenCV is a powerful tool for prototyping embedded vision algorithms.  Originally released in 2000, it has been downloaded over 3.5 million times.  The OpenCV library supports over 2,500 functions and contains dozens of valuable vision application examples.  The library supports C, C++, and

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Start Developing OpenCV Applications Immediately Using the BDTI Quick-Start OpenCV Kit (Download)

OpenCV is an open-source software component library for computer vision application development. OpenCV is a powerful tool for prototyping embedded vision algorithms. Originally released in 2000, it has been downloaded over 3.5 million times. The OpenCV library supports over 2,500 functions and contains dozens of valuable vision application examples. The… Start Developing OpenCV Applications Immediately

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March 2012 Embedded Vision Alliance Summit Keynote: Jim Donlon, DARPA

Jim Donlon, Program Manager for DARPA (the U.S. Defense Advanced Research Projects Agency) describes the objectives, to-date history, current status and future plans of the Mind's Eye program. Mind's Eye "seeks to develop the capability for visual intelligence by automating the ability to learn generally applicable and generative representations of action between objects in a

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HDR Sensors for Embedded Vision

By Michael Tusch Founder and CEO Apical Limited At the late-March 2012 Embedded Vision Alliance Summit, Eric Gregori and Shehrzad Qureshi from BDTI presented a helpful overview of CCD and CMOS image sensor technology. I thought it might be interesting to extend this topic to cover so-called HDR (High Dynamic Range) / WDR (Wide Dynamic

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Gesture Recognition: Enabling Natural Interactions With Electronics

By Dong-Ik Ko (Lead Engineer, Gesture Recognition and Depth-Sensing) and Gaurav Agarwal (Manager, Gesture Recognition and Depth-Sensing) Texas Instruments This is a reprint of a Texas Instruments-published white paper, which is also available here (2.6 MB PDF). Introduction Over the past few years, gesture recognition has made its debut in entertainment and gaming markets. Now,

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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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