Dec 17, 2014 at 1:29 am in by Computer Vision Central

The Eleventh IEEE Embedded Vision Workshop


12 June, 2015,
Boston, MA, USA

Held in conjunction with IEEE CVPR 2015
Call for Papers: (pdf)

Invited Speakers

  • Marc Pollefeys, Professor, ETH Zurich, “Embedded Vision for Autonomous Micro-Aerial Vehicles”
  • Joe Bates, Singular Computing, “Low-Power Embedded Vision using Approximate Computing”
  • Larry Matthies, Jet Propulsion Laboratory, “Perception for autonomous navigation in dynamic environments on land and sea”
  • Roman Pflugfelder, University Of Techonology Graz, “Visual single and general object tracking: Where are we today?”
  • Pyun Kyungsuk, Samsung, “Action Understanding Using Dynamic Vision Sensor for Consumer Electronics and Mobile Applications”


We are happy to announce that DJI, maker of popular consumer drones, is a Gold Sponsor of EVW 2015. DJI will be presenting two exciting gifts to the best oral and poster presentations. Winners to be selected by a jury based on technical content and presentation quality.

We are also excited to welcome NVIDIA as Silver Sponsor of EVW 2015. NVIDIA will be presenting two Jetson TK1 development boards to runner-ups for the best oral and poster presentations.

Standing room only during the Keynote by Prof. Marc Pollefeys.

Standing room only during the Keynote by Prof. Marc Pollefeys.


Location: TBD
Schedule: Full day

Time Session Speaker and Title
9:00 Opening Remarks by the Chairs Goksel Dedeoglu and Stefano Mattoccia
9:15 Keynote Marc Pollefeys, “Embedded vision for autonomous Micro-Aerial Vehicles”
10:00-10:30 Coffee break
10:30-10:45 Oral “On-board real-time tracking of pedestrians on a UAV”, F. De Smedt, D. Hulens, T. Goedemé. Best Oral Presentation
10:45-11:00 Oral “Guidance: A Visual Sensing Platform For Robotic Applications”, G. Zhou, L. Fang, K. Tang, H. Zhang, K. Wang, K. Yang
11:00-11:30 Invited Presentation Joseph Bates, “Low-Power Embedded Vision using Approximate Computing”
11:30-12:00 Poster session
  • “Off-the-Shelf Sensor Integration for mono-SLAM on Smart Devices”, P. Tiefenbacher, T. Schulze, G. Rigoll. Best Poster Presentation
  • “Retrieving Gray-Level Information from a Binary sensor and its application to Gesture Detection”, O. Gallo, I. Frosio, L. Gasparini, K. Pulli, M. Gottardi
  • “Recursive Edge-Aware Filters for Stereo Matching”, C. Cigla. Runner-Up for Best Poster Presentation
  • “A Real-Time High Dynamic Range HD Video Camera”, R. Narasimha, U. Batur
  • “FPGA Acceleration for Feature Based Processing Applications”, G. Van der Wal, S. Chai, D. Zhang, I. Kandaswamy, K. Kaighn, J. Zhang, J.Marakowitz
12:30-2:00 Lunch break
2:00-2:45 Invited Presentation Larry Matthies, “Perception for autonomous navigation in dynamic environments on land and sea”
2:45-3:00 Oral “Locally Non-rigid Registration for Mobile HDR Photography”, O. Gallo, A. Troccoli, J. Hu, K. Pulli, J. Kautz
Oral “Real-time Embedded Age and Gender Classification in Unconstrained Video”, R. Azarmehr, R. Laganiere, W. Lee, C. Xu, D. Laroche
Oral “FPGA-based Pedestrian Detection Under Strong Distortions”, D. Tasson, A. Montagnini, R. Marzotto, M. Farenzena, M. Cristani. Runner-Up for Best Oral Presentation
3:30-4:00 Coffee break
4:00-4:30 Invited Presentation Roman Pflugfelder, “Visual single and general object tracking: Where are we today?”
4:30-5:00 Invited Presentation Pyun Kyungsuk, “Action Understanding Using Dynamic Vision Sensor for Consumer Electronics and Mobile Applications”
5:00-5:10 Awards
5:10-5:20 Closing remarks

Organizing Committee

General Chairs:

Goksel Dedeoglu
PercepTonic, LLC

Program Chairs:

Stefano Mattoccia
University of Bologna, Italy

Demo Chair:

Ravi Kumar Satzoda
UC San Diego, USA

Steering Committee:

Abbes Amira
University of the West of Scotland, UK
Ahmed Nabil Belbachir
Teknova AS, Norway
Sek Chai
SRI International, USA
Margrit Gelautz
Vienna University of Technology, Austria
Branislav Kisacanin
Interphase, USA
Fridtjof Stein
Daimler AG, Germany

Web Master:

Yu Wang

Program Committee (tentative)

Abelardo Lopez-Lagunas, ITESM
Antonio Haro, Navteq
Bernhard Rinner, Klagenfurt U.
Burak Ozer, Verificon
David Ilstrup, Honda Research Institute
David Moloney, Movidius
Dipan Mandal, Intel Corporation
Hassan Rabah, University of Lorraine
Hongying Meng, Brunel University
Kofi Appiah, Nottingham Trent University
Larry Matthies, JPL
Linda Wills, Georgia Tech
Marilyn Wolf, Georgia Tech
Martin Humenberger, AIT
Peter Venetianer, Digital Signa Corp.
Rajesh Narasimha, MetaIO
Rongrong Ji, Columbia U.
Sebastiano Battiato, U.of Catania
Shanti Swarup, UURMI
Steve Mann, University of Toronto
Sven Fleck, SmartSurv
Terry Boult, U.of Colorado
Vinay Sharma, Apple
Vittorio Murino, Istituto Ital.di Tecn.
Zhu Li, Hong Kong Polytechnic University
Senyo Apewokin, Texas Instruments
Moshe Ben-Ezra, Microsoft
Faycal Bensaali, Qatar University
Xin Chen, Naivety
Rita Cucchiara, U of Modena and Reggio Emilia
Orazio Gallo, nVidia
Masatoshi Ishikawa, U.of Tokyo
Kihwan Kim, NVIDIA
Kevin Koeser, ETH Zurich
Darnell Moore, Texas Instruments
Andre Morin, Lyrtech
Zoran Nikolic, Texas Instruments
Sankalita Saha, NASA
Mainak Sen, Cisco Systems
Dabral Shashank, Texas Instruments
Salvatore Vitabile, U.of Palermo
Ruigang Yang, U. of Kentucky





Call For Participation

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:

  • Embedded vision for robotics (industrial, mobile and consumer)
  • Embedded vision for Unmanned Ground and Air Vehicles, including consumer drones
  • Analysis of vision problems specific to embedded systems
  • Analysis of embedded systems issues specific to computer vision
  • 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
  • Image data transfer methodologies suited for the embedded vision domain

All of the previous Workshops on Embedded (Computer) Vision (ECVW and EVW) were held in conjunction with CVPR, with the exception of the fifth, which was held in conjunction with ICCV 2009. These events were very successful, and selected workshop papers have been published in two special issues of major journals (EURASIP Journal on Embedded Systems and CVIU) and in two Springer monographs titled Embedded Computer Vision.

Future Embedded Vision Workshops (EVW)

Previous Embedded Vision Workshops (EVW)

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