Object Tracking

“Object Trackers: Approaches and Applications,” a Presentation from Intel

Minje Park, Deep Learning R&D Engineer at Intel, presents the "Object Trackers: Approaches and Applications" tutorial at the May 2019 Embedded Vision Summit. Object tracking is a powerful algorithm component and one of the fundamental building blocks for many real-world computer vision applications. Object trackers provide two main benefits when incorporated into a localization module. […]

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May 2019 Embedded Vision Summit Slides

The Embedded Vision Summit was held on May 20-23, 2019 in Santa Clara, California, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in… May 2019 Embedded Vision Summit

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“Building a Typical Visual SLAM Pipeline,” a Presentation from Virgin Hyperloop One

YoungWoo Seo, Senior Director at Virgin Hyperloop One, presents the “Building a Typical Visual SLAM Pipeline” tutorial at the May 2018 Embedded Vision Summit. Maps are important for both human and robot navigation. SLAM (simultaneous localization and mapping) is one of the core techniques for map-based navigation. As SLAM algorithms have matured and hardware has

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May 2018 Embedded Vision Summit Slides

The Embedded Vision Summit was held on May 21-24, 2018 in Santa Clara, California, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in… May 2018 Embedded Vision Summit

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“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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Figure2

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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