Videos

Imagination Technologies Demonstrations of GPU- and ISP-Accelerated Algorithms

Peter McGuinness, Director of Multimedia Technology Marketing at Imagination Technologies, demonstrates the company's latest embedded vision technologies and products at the January 2015 Consumer Electronics Show. Specifically, McGuinness demonstrates OpenCL-based and GPU-accelerated video tracking and analytics and face detection algorithms, as well as the company's ISP camera framework and PowerVR imaging framework for Android.

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NVIDIA Demonstration of its Drive PX ADAS Platform for Object Identification

Mike Houston, Principal Engineer for Mobile and Cloud Computing at NVIDIA, demonstrates the company's latest embedded vision technologies and products at the January 2015 Consumer Electronics Show. Specifically, Houston demonstrates various object identification applications running on the company's Drive PX ADAS platform, based on the Tegra X1 SoC.

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Videantis Demonstration of a Pedestrian Detection Algorithm

Marco Jacobs, Vice President of Marketing at videantis, demonstrates the company's latest embedded vision technologies and products at the January 2015 Consumer Electronics Show. Specifically, Jacobs demonstrates a pedestrian detection algorithm, based on the HOG (histogram of oriented gradients) method in combination with the SVM (support vector machine) classifier, running on the company's vision processing

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Gaze Tracking Using CogniMem Technologies’ CM1K and a Freescale i.MX53

This demonstration, which pairs a Freescale i.MX Quick Start board and CogniMem Technologies CM1K evaluation module, showcases how to use your eyes (specifically where you are looking at any particular point in time) as a mouse. Translating where a customer is looking to actions on a screen, and using gaze tracking to electronically control objects

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Adding Precise Finger Gesture Recognition Capabilities to the Microsoft Kinect

CogniMem’s Chris McCormick, application engineer, demonstrates how the addition of general-purpose and scalable pattern recognition can be used to bring enhanced gesture control to the Microsoft Kinect. Envisioned applications include augmenting or eliminating the TV remote control, using American Sign Language for direct text translation, and expanding the game-playing experience. To process even more gestures

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