Object Tracking

“Eye Tracking for the Future,” a Presentation from Parallel Rules

Algorithms, Edge AI and Vision Alliance, Object Tracking, Software, Summit 2020, Tools, Videos /

Peter Milford, President of Parallel Rules, presents the “Eye Tracking for the Future” tutorial at the September 2020 Embedded Vision Summit. Eye tracking is an increasingly important technology for applications ranging from augmented and virtual reality head-mounted displays to automotive driver monitoring. In this talk, Milford introduces eye tracking techniques and technical challenges. He also […]

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“Safer and More Efficient Intersections with Computer Vision,” a Presentation from Cubic | GRIDSMART

Algorithms, Edge AI and Vision Alliance, Object Identification, Object Tracking, Processors, Sensors and Cameras, Software, Summit 2020, Videos /

Jeff Price, Vice President and General Manager at Cubic | GRIDSMART, presents the “Safer and More Efficient Intersections with Computer Vision” tutorial at the September 2020 Embedded Vision Summit. GRIDSMART is an edge computer vision system that uses omnidirectional imaging to detect and track objects through intersections to optimize traffic signal timing in response to

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SLAMcore Debuts Full-stack Spatial AI SDK in Industry Competition

Algorithms, Blog Posts, Object Tracking, Robotics, Sensors and Cameras, SLAMcore, Software, Tools /

This blog post was originally published at SLAMcore’s website. It is reprinted here with the permission of SLAMcore. The three most challenging questions in autonomous robotics are: where am I? how far away are the objects around me? and, what are those objects? The vast majority of robot failures stem from an inability to answer

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What Is Object Detection?

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

This article was originally published at MathWorks’ website. It is reprinted here with the permission of MathWorks. 3 Things You Need to Know Object detection is a computer vision technique for locating instances of objects in images or videos. Object detection algorithms typically leverage machine learning or deep learning to produce meaningful results. When humans

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“Object Detection for Embedded Markets,” a Presentation from Imagination Technologies

Algorithms, Imagination Technologies, Object Identification, Object Tracking, Processors, Software, Summit 2019, Tools, Videos /

Paul Brasnett, PowerVR Business Development Director for Vision and AI at Imagination Technologies, presents the “Object Detection for Embedded Markets” tutorial at the May 2019 Embedded Vision Summit. While image classification was the breakthrough use case for deep learning-based computer vision, today it has a limited number of real-world applications. In contrast, object detection is

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“Applied Depth Sensing with Intel RealSense,” a Presentation from Intel

Algorithms, Intel, Object Tracking, Processors, Robotics, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Sergey Dorodnicov, Software Architect at Intel, presents the “Applied Depth Sensing with Intel RealSense” tutorial at the May 2019 Embedded Vision Summit. As robust depth cameras become more affordable, many new products will benefit from true 3D vision. This presentation highlights the benefits of depth sensing for tasks such as autonomous navigation, collision avoidance and

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“Teaching Machines to See, Understand, Describe and Predict Sports Games in Real Time,” a Presentation from Sportlogiq

Algorithms, Edge AI and Vision Alliance, Entertainment, Object Identification, Object Tracking, Processors, Software, Summit 2019, Tools, Videos /

Mehrsan Javan, CTO of Sportlogiq, presents the “Teaching Machines to See, Understand, Describe and Predict Sports Games in Real Time” tutorial at the May 2019 Embedded Vision Summit. Sports analytics is about observing, understanding and describing the game in an intelligent manner. In practice, this means designing a fully-automated, robust, end-to-end pipeline; from visual input,

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“Neuromorphic Event-based Vision: From Disruption to Adoption at Scale,” a Presentation from Prophesee

Algorithms, Face Detection, Object Tracking, Prophesee, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Luca Verre, Co-founder and CEO of Prophesee, presents the “Neuromorphic Event-based Vision: From Disruption to Adoption at Scale” tutorial at the May 2019 Embedded Vision Summit. Neuromorphic event-based vision is a new paradigm in imaging technology, inspired by human biology. It promises to dramatically improve machines’ ability to sense their environments and make intelligent decisions

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“Visual AI Enables Autonomous Security,” an Interview with Knightscope

Algorithms, Edge AI and Vision Alliance, Face Detection, Object Identification, Object Tracking, Optical Character Recognition, Processors, Robotics, Security, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

William “Bill” Santana Li, Co-founder, Chairman and CEO of Knightscope, talks with Vin Ratford, Executive Director of the Embedded Vision Alliance, for the “Visual AI Enables Autonomous Security” interview at the May 2019 Embedded Vision Summit. Knightscope, a physical security technologies company based in Silicon Valley, develops and sells a line of autonomous robots that

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

Algorithms, Intel, Object Tracking, Processors, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

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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