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.
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
07月21日
2017
会议日期
注册截止日期
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