Object Tracking

“Always-on Vision Becomes a Reality,” a Presentation from Qualcomm Research

Algorithms, Face Detection, Gesture Control, Object Identification, Object Tracking, Processors, Qualcomm, Sensors and Cameras, Software, Tools, Videos /

Evgeni Gousev, Senior Director at Qualcomm Research, presents the "Always-On Vision Becomes a Reality" tutorial at the May 2017 Embedded Vision Summit. Intelligent devices equipped with human-like senses such as always-on touch, audio and motion detection have enabled a variety of new use cases and applications, transforming the way we interact with each other and […]

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“Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles,” a Presentation from NXP Semiconductors

Algorithms, Automotive, Edge AI and Vision Alliance, NXP Semiconductors, Object Identification, Object Tracking, Optical Character Recognition, Processors, Sensors and Cameras, Software, Tools, Videos /

Ali Osman Ors, Director of Automotive Microcontrollers and Processors at NXP Semiconductors, presents the "Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles" tutorial at the May 2017 Embedded Vision Summit. A diverse set of sensor technologies is available and emerging to provide vehicle autonomy or driver assistance. These sensor technologies often

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“Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles,” a Presentation from NXP Semiconductors

Algorithms, Automotive, Edge AI and Vision Alliance, NXP Semiconductors, Object Identification, Object Tracking, Optical Character Recognition, Processors, Sensors and Cameras, Software, Tools, Videos /

Ali Osman Ors, Director of Automotive Microcontrollers and Processors at NXP Semiconductors, presents the "Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles" tutorial at the May 2017 Embedded Vision Summit. A diverse set of sensor technologies is available and emerging to provide vehicle autonomy or driver assistance. These sensor technologies often

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“Video Cameras Without Video: Opportunities For Sensing With Embedded Vision,” a Presentation from Michael Tusch

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

Michael Tusch presents the "Video Cameras Without Video: Opportunities For Sensing With Embedded Vision" tutorial at the May 2017 Embedded Vision Summit. Within the next few years, network cameras will cease to be regarded primarily as image capture devices. They will instead transform into intelligent data capture nodes whose functionality will in many, but not

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“Computer Vision on ARM: The Spirit Object Detection Accelerator,” a Presentation from ARM

Algorithms, Arm, Face Detection, Face Recognition, Object Identification, Object Tracking, Processors, Software, Tools, Videos /

Tim Hartley, Senior Product Manager in the Imaging and Vision Group at ARM, presents the "Computer Vision on ARM: The Spirit Object Detection Accelerator" tutorial at the May 2017 Embedded Vision Summit. In 2016, ARM released Spirit, a dedicated object detection accelerator, bringing industry-leading levels of power- and area-efficiency to computer vision workflows. In this

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May 2017 Embedded Vision Summit Slides

Aerospace and Defense, Algorithms, Augmented Reality, Automotive, Biometrics, Downloads, Edge AI and Vision Alliance, Emotion Discernment, Entertainment, Face Detection, Face Recognition, Gesture Control, Industrial Vision (Computer Vision), Information Access and Analytics, Medical, Object Identification, Object Tracking, Optical Character Recognition, Processors, Retail, Robotics, Security, Sensors and Cameras, Software, Tools /

The Embedded Vision Summit was held on May 1-3, 2017 in Santa Clara, California, as a 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 2017 Embedded Vision Summit

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“Combining Cloud and Edge Machine Learning to Deliver the Future of Video Monitoring,” a Presentation from Camio

Algorithms, Camio, Edge AI and Vision Alliance, Face Detection, Face Recognition, Object Tracking, Processors, Security, Sensors and Cameras, Software, Videos /

Carter Maslan and Luca de Alfaro of Camio deliver the presentation "Combining Cloud and Edge Machine Learning to Deliver the Future of Video Monitoring" at the February 2017 Embedded Vision Alliance Member Meeting. Maslan and de Alfaro present their company's approach to using machine learning at the edge and in the cloud to deliver more

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

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

Nik Gagvani, President and General Manager of CheckVideo, delivers the presentation "Intelligent Video Surveillance: Are We There Yet?" at the September 2016 Embedded Vision Alliance Member Meeting. Gagvani provides an insider's perspective on vision-enabled video surveillance applications.

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“Using Vision to Enable Autonomous Land, Sea and Air Vehicles,” a Keynote Presentation from NASA JPL

Algorithms, Object Identification, Object Tracking, Processors, Robotics, Sensors and Cameras, Software, Tools, Videos /

Larry Matthies, senior research scientist at the NASA Jet Propulsion Laboratory, presents the "Using Vision to Enable Autonomous Land, Sea and Air Vehicles" keynote at the May 2016 Embedded Vision Summit. Say you’re an autonomous rover and you’ve just landed on Mars. Vexing questions now confront you: “Where am I and how am I moving?”

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Vision Processing Opportunities in Drones

Algorithms, Articles, Edge AI and Vision Alliance, Face Detection, Face Recognition, Intel, NVIDIA, NXP Semiconductors, Object Identification, Object Tracking, Processors, Robotics, Sensors and Cameras, Software, Technical Articles, Tools, videantis, Xperi /

UAVs (unmanned aerial vehicles), commonly known as drones, are a rapidly growing market and increasingly leverage embedded vision technology for digital video stabilization, autonomous navigation, and terrain analysis, among other functions. This article reviews drone market sizes and trends, and then discusses embedded vision technology applications in drones, such as image quality optimization, autonomous navigation,

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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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