Object Tracking

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

Algorithms, Entertainment, Face Detection, Object Tracking, Processors, Retail, Software, Tools, Videos /

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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“Keeping Brick and Mortar Relevant, A Look Inside Retail Analytics,” A Presentation from Prism Skylabs

Algorithms, Edge AI and Vision Alliance, Face Detection, Object Identification, Object Tracking, Retail, Software, Videos /

Doug Johnston, Founder and Vice President of Technology at Prism Skylabs, delivers the presentation "Keeping Brick and Mortar Relevant: A Look Inside Prism Skylabs and Retail Analytics" at the December 2014 Embedded Vision Alliance Member Meeting. Doug explains how his firm is using vision to provide retailers with actionable intelligence based on consumer behavior.

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May 2014 Embedded Vision Summit Technical Presentation: “Embedded Lucas-Kanade Tracking: How It Works, How to Implement It, and How to Use It,” Goksel Dedeoglu, PercepTonic

Algorithms, Edge AI and Vision Alliance, Object Tracking, Processors, Software, Videos /

Goksel Dedeoglu, Ph.D., Founder and Lab Director of PercepTonic, presents the "Embedded Lucas-Kanade Tracking: How It Works, How to Implement It, and How to Use It" tutorial at the May 2014 Embedded Vision Summit. This tutorial is intended for technical audiences interested in learning about the Lucas-Kanade (LK) tracker, also known as the Kanade-Lucas-Tomasi (KLT)

May 2014 Embedded Vision Summit Technical Presentation: “Embedded Lucas-Kanade Tracking: How It Works, How to Implement It, and How to Use It,” Goksel Dedeoglu, PercepTonic Read More +

May 2014 Embedded Vision Summit Technical Presentation: “How to Create a Great Object Detector,” Avinash Nehemiah, MathWorks

Algorithms, MathWorks, Object Identification, Object Tracking, Software, Tools, Videos /

Avinash Nehemiah, Product Marketing Manager for Computer Vision at MathWorks, presents the "How to Create a Great Object Detector" tutorial at the May 2014 Embedded Vision Summit. Detecting objects of interest in images and video is a key part of practical embedded vision systems. Impressive progress has been made over the past few years by

May 2014 Embedded Vision Summit Technical Presentation: “How to Create a Great Object Detector,” Avinash Nehemiah, MathWorks Read More +

johnday-blog

Improved Vision Processors, Sensors Enable Proliferation of New and Enhanced ADAS Functions

Algorithms, Articles, Automotive, Edge AI and Vision Alliance, Face Detection, Face Recognition, Gesture Control, NXP Semiconductors, Object Identification, Object Tracking, Optical Character Recognition, Processors, Sensors and Cameras, Software, Synopsys, Technical Articles /

This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Thanks to the emergence of increasingly capable and cost-effective processors, image sensors, memories and other semiconductor devices, along with robust algorithms, it's now practical to incorporate computer vision into a wide range of embedded

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“Computational Photography: An Introduction and Highlights of Recent Research,” a Presentation from the University of Wisconsin

Algorithms, Edge AI and Vision Alliance, Face Detection, Object Identification, Object Tracking, Sensors and Cameras, Software, Videos /

Professor Li Zhang of the University of Wisconsin presents an introduction to computational photography at the December 2013 Embedded Vision Alliance Member Meeting.

“Computational Photography: An Introduction and Highlights of Recent Research,” a Presentation from the University of Wisconsin Read More +

Lucas-Kanade Feature Tracking

Algorithms, Object Tracking, Processors, Software, Texas Instruments, Videos /

Jeff Bier, founder of the Embedded Vision Alliance, interviews Goksel Dedeoglu, Manager of Embedded Vision R&D at Texas Instruments. They begin with a hands-on demonstration of real-time Lucas-Kanade tracking using TI's Vision Library VLIB on the C6678 Keystone DSP, wherein thousands of Harris corner features are detected and tracked in 1080p HD resolution images at 15 frames per

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Figure1b

Visual Intelligence Gives Robotic Systems Spatial Sense

Algorithms, Articles, MathWorks, NXP Semiconductors, Object Identification, Object Tracking, Processors, Robotics, Software, Technical Articles /

This article is an expanded version of one originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. In order for robots to meaningfully interact with objects around them as well as move about their environments, they must be able to see and discern their surroundings. Cost-effective

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October 2013 Embedded Vision Summit Technical Presentation: “Better Image Understanding Through Better Sensor Understanding,” Michael Tusch, Apical

Aerospace and Defense, Algorithms, Arm, Automotive, Emotion Discernment, Entertainment, Face Detection, Face Recognition, Gesture Control, Industrial Vision (Computer Vision), Object Identification, Object Tracking, Optical Character Recognition, Processors, Retail, Robotics, Security, Software, Videos /

Michael Tusch, Founder and CEO of Apical Imaging, presents the "Better Image Understanding Through Better Sensor Understanding" tutorial within the "Front-End Image Processing for Vision Applications" technical session at the October 2013 Embedded Vision Summit East. One of the main barriers to widespread use of embedded vision is its reliability. For example, systems which detect

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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 +

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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