Object Tracking

“A New Approach to Mass Transit Security,” a Presentation from Lux Research

Mark Bünger, Vice President of Research at Lux Research, delivers the presentation "A New Approach to Mass Transit Security" at the Embedded Vision Alliance's March 2018 Vision Industry and Technology Forum. Bünger presents a revolutionary computer-vision-based methodology for public transit safety.

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“Using Computer Vision and Machine Learning to Understand Pet Behavior,” a Presentation from PetCube

Alex Neskin, founder and CTO of PetCube, delivers the presentation "Using Computer Vision and Machine Learning to Understand Pet Behavior" at the Embedded Vision Alliance's December 2017 Vision Industry and Technology Forum. Neskin explains how his start-up is using vision and AI to improve the lives of pets and their owners.

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Stereo Vision: Facing the Challenges and Seeing the Opportunities for ADAS Applications

This technical article was originally published on Texas Instruments' website (PDF). It is reprinted here with the permission of Texas Instruments. Introduction Cameras are the most precise mechanisms used to capture accurate data at high resolution. Like human eyes, cameras capture the resolution, minutiae and vividness of a scene with such beautiful detail that no

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“Intelligent Video Surveillance: Are We There Yet?,” a Presentation from CheckVideo

Nik Gagvani, Founder and President of CheckVideo, presents the "Intelligent Video Surveillance: Are We There Yet?" tutorial at the May 2017 Embedded Vision Summit. The video surveillance market has been an early adopter of computer vision technology. After more than a decade of experience with deployed systems, what have we learned? This talk covers the

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“Intelligent Video Surveillance: Are We There Yet?,” a Presentation from CheckVideo

Nik Gagvani, Founder and President of CheckVideo, presents the "Intelligent Video Surveillance: Are We There Yet?" tutorial at the May 2017 Embedded Vision Summit. The video surveillance market has been an early adopter of computer vision technology. After more than a decade of experience with deployed systems, what have we learned? This talk covers the

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“Using Markerless Motion Capture to Win Baseball Games,” a Presentation from KinaTrax

Steven Cadavid, President of KinaTrax, presents the "Using Markerless Motion Capture to Win Baseball Games" tutorial at the May 2017 Embedded Vision Summit. KinaTrax develops a markerless motion capture system that computes the kinematic data of an in-game baseball pitch. The system is installed in several Major League Baseball ballparks including Wrigley Field, home of

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“Designing a Stereo IP Camera From Scratch,” a Presentation from ELVEES

Anton Leontiev, Embedded Software Architect at ELVEES, JSC, presents the "Designing a Stereo IP Camera From Scratch" tutorial at the May 2017 Embedded Vision Summit. As the number of cameras in an intelligent video surveillance system increases, server processing of the video quickly becomes a bottleneck. On the other hand, when computer vision algorithms are

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“Vision Challenges in a Robotic Power Tool,” a Presentation from Shaper Tools

Alec Rivers, co-founder of Shaper Tools, presents the "Vision Challenges in a Robotic Power Tool" tutorial at the May 2017 Embedded Vision Summit. Shaper Tools has developed a first-of-its-kind robotic power tool enabled by embedded vision. Vision is used to track the tool's orientation in 3D at 100 Hz to an accuracy of 0.01 inches

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“Blending Cloud and Edge Machine Learning to Deliver Real-time Video Monitoring,” a Presentation from Camio

Carter Maslan, CEO of Camio, presents the "Blending Cloud and Edge Machine Learning to Deliver Real-time Video Monitoring" tutorial at the May 2017 Embedded Vision Summit. Network cameras and other edge devices are collecting ever-more video – far more than can be economically transported to the cloud. This argues for putting intelligence in edge devices.

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“How to Test and Validate an Automated Driving System,” a Presentation from MathWorks

Avinash Nehemiah, Product Marketing Manager for Computer Vision at MathWorks, presents the "How to Test and Validate an Automated Driving System" tutorial at the May 2017 Embedded Vision Summit. Have you ever wondered how ADAS and autonomous driving systems are tested? Automated driving systems combine a diverse set of technologies and engineering skill sets from

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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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