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Introduction

Embedded Vision is what makes Computer Vision mainstream today, as it brings together embedded systems with vision functionalities. Due to the emergence of powerful yet low-cost and energy-efficient processors, it has become possible to incorporate vision capabilities into a wide range of embedded systems, including video search and annotation, surveillance, gesture recognition in video games, driver assist systems in automotive safety, and autonomous robots such as drones. The IEEE Embedded Vision Workshop (EVW) brings together researchers working on vision problems that share embedded system characteristics.

Call for paper

Submission Topics

This year, we strongly encourage submissions on robotic systems and applications. Research papers are solicited in, but not limited to, the following topics:

  • Deep learning hardware and software architectures for visual exploitation

  • Analysis of vision problems specific to embedded systems

  • Analysis of embedded systems issues specific to computer vision

  • Large scale computer vision problems including object recognition, scene analysis, visual, industrial and medical applications

  • Embedded vision for robotics (industrial, mobile, and consumer)

  • Embedded vision for Unmanned Ground and Air Vehicles, including consumer drones

  • Embedded visual navigation (mapping, localization, VSLAM, VO)

  • New trends in programmable processors for vision and computational imaging

  • Applications of and algorithms for embedded vision on:

  • Massively parallel platforms such as GPUs (PC, embedded and mobile)

  • Programmable platforms such as DSPs and multicore SoCs

  • Reconfigurable platforms such as FPGAs and SoCs with reconfigurable logic

  • Mobile devices, including smartphones and tablets

  • Vision-based client devices for the Internet of Things (IoT)

  • Embedded vision for 3D movies and TV

  • Biologically-inspired vision and embedded systems

  • Computer vision applications distributed between embedded devices and servers

  • Social networking embedded computer vision applications

  • Educational methods for embedded vision

  • User interface designs and CAD tools for embedded vision applications

  • Hardware enhancements (lens, imager, processor) that impact vision applications

  • Software enhancements (OS, middleware, vision libraries, development tools) that impact embedded vision application

  • Methods for standardization and measurement of vision functionalities

  • Performance metrics for evaluating embedded systems

  • Hybrid embedded systems combining vision and other sensor modalities

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Important Date
  • Jul 21

    2017

    Conference Date

  • Jul 21 2017

    Registration deadline

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