The 12th IEEE Embedded Computer Vision Workshop




July 1st, 2016,
Las Vegas, NV, USA

Held in conjunction with IEEE CVPR 2016.
Call for Papers: (pdf)




Location: Emperor II
Schedule: Full day

Start Time Paper/Talk Title Author/Speaker
8:00 Welcome
8:10 Keynote: Vision-Centric ADAS Silicon Architectures for Platform Efficiency, Intelligence and Flexibility Chris Rowen (Cadence IP, USA)
8:55 A Diverse Low Cost High Performance Platform for Advanced Driver Assistance System (ADAS) Applications Prashanth Viswanath, Pramod Swami, Mihir Mody, Kedar Chitnis, Sujith Shivalingappa, Soyeb Nagori, Manu Mathew, Kumar Desappan, Shyam Jagannathan, Deepak Poddar, Anshu Jain, Hrushikesh Garud, Vikram Appia, Mayank Mangla, Shashank Dabral
9:15 A Visual Attention Algorithm Designed for Coupled Oscillator Acceleration Christopher Thomas, Adriana Kovashka, Donald Chiarulli, Steven Levitan
9:35 Embedded Motion Detection via Neural Response Mixture Background Modeling Mohammad Javad Shafiee, Parthipan Siva, Paul Fieguth, Alexander Wong
10:00 Morning Break
10:30 Keynote: The Challenges and Fun of Building Mu, a Tiny Smart Eye for Toys Tianli Yu (Morpx Inc., USA)
11:15 A Scalable High-Performance Hardware Architecture for Real-Time Stereo Vision by Semi-Global Matching Jaco Hofmann, Andreas Koch, Jens Korinth
11:35 Vision Based Autonomous Orientational Control for Aerial Manipulation via on-board FPGA Suphachart Leewiwatwong, Shouhei Shimahara, Robert Ladig, Kazuhiro Shimonomura
11:55 Embedded Vision System for Atmospheric Turbulence Mitigation Ajinkya Deshmukh, Gaurav Bhosale, Swarup Shanti, Karthik Reddy, Hemanthkumar P, Chandrasekhar A, Kirankumar P, Vijaysagar K
12:35 Lunch (on your own)
13:30 Keynote: Energy-Efficient Hardware for Embedded Vision and Deep Convolutional Neural Networks Vivienne Sze (MIT, USA)
14:15 Spotlights Posters and Demos
14:35 Posters
Approximated Prediction Strategy for Reducing Power Consumption of Convolutional Neural Network Processor Takayuki Ujiie, Masayuki Hiromoto, Takashi Sato
Visual Monocular Obstacle Avoidance for Small Unmanned Vehicles Levente Kovacs
Real-time, Embedded Scene Invariant Crowd Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG) Parthipan Siva, Mohammad Javad Shafiee, Michael Jamieson, Alexander Wong
3DCapture: 3D Reconstruction for a Smartphone Oleg Muratov, Yury Slynko, Vitaly Chernov, Maria Lyubimtseva, Artem Shamsuarov, Victor Bucha
Embedded Computing Framework for Vision-based Real-Time Surround Threat Analysis and Driver Assistance Frankie Lu, Sean Lee, Ravi Kumar Satzoda, Mohan Trivedi
15:25 Afternoon Break
16:00 Keynote: Multi-Sensor Fusion for Self-Healing Vision Based Navigation Stephan Weiss (Alpen-Adria-Universität, Austria)
16:45 Demos
Aquifi SIR: Extremely Low Latency Depth and Color Camera with Computation on FPGA Paolo Di Febbo, Alessandro Mattei, Alessandro Temil, Aryan Hazeghi, Stefano Mattoccia, Carlo Dal Mutto, Abbas Rafii, Jason Trachewsky
Embedded Computing Framework for Vision-based Real-Time Surround Threat Analysis and Driver Assistance Frankie Lu, Sean Lee, Ravi Satzoda, Mohan Trivedi
Embedding Convolutional Neural Networks for Real-Time Vehicle Localization Into Consumer Grade Mobile Phones Nauto, Inc.
17:30 Closing Remarks and Awards


Best paper awards are provided by the following sponsors:

  • Morpx Inc.: Computer vision development kit for Mu Toys
  • Mathworks: License to Matlab and additional toolboxes along with a Raspberry PI 3
  • NVIDIA: GPU GeForce GTX Titan X.




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.

Important Dates

  • Paper submission: March 18 (05:00pm PST), 2016
  • Notification to the authors: April 27, 2016
  • Camera ready paper: May 2, 2016

Paper submission website: https://cmt3.research.microsoft.com/EVW2016

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

Demo Session

This year, EVW will have live demonstrations of embedded vision prototypes and solutions. During this session, authors, engineers, and researchers can showcase their prototypes with real-time implementations of vision systems on embedded computing platforms. Authors of selected papers (both oral and poster) will be invited to demonstrate their works. Additionally, we also invite abstracts independent of the paper submissions to present your demonstrations during the workshop. Selected abstracts will be given an opportunity to demonstrate their solutions during the workshop.

Please send your demo abstract/proposal to rsatzoda@eng.ucsd.edu.
Deadline: April 20, 2016

Special Journal Issue on Embedded Computer Vision

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.

This year, there will be a Special Journal Issue on Embedded Computer Vision within Springer’s Journal of Signal Processing Systems. Authors of selected papers will be invited to submit extended versions of their workshop papers for publication in the special issue.

Special Journal Issue deadline: Aug 14, 2016


Organizing Committee

General Chair:

Stefano Mattoccia, University of Bologna, Italy
Jagadeesh Sankaran, Nvidia

Program Chair:

Martin Humenberger, AIT Austrian Institute of Technology
Swarup Medasani, Uurmi Systems

Demo Chair:

Ravi Kumar Satzoda, UC San Diego

Sponsorship Chair:

Goksel Dedeoglu, PercepTonic

Steering Committee:

Ahmed Nabil Belbachir, Teknova AS (Norway)
Sek Chai, SRI International
Margrit Gelautz, Vienna University of Technology
Branislav Kisacanin, Nvidia
Fridtjof Stein, Daimler AG

Web Chair:

Yu Wang, Ambarella

Program Committee (tentative):

Abelardo Lopez-Lagunas, ITESM
Antonio Haro, Navteq
Bernhard Rinner, Klagenfurt University
Burak Ozer, Verificon
David Ilstrup, Honda Research Institute
David Moloney, Movidius
Dipan Mandal, Intel Corporation
Hassan Rabah, University of Lorraine
Hongying Meng, Brunel University
Khanh Duc, Nvidia
Kofi Appiah, Nottingham Trent University
Linda Wills, Georgia Tech
Marilyn Wolf, Georgia Tech
Peter Venetianer, Digital Signa Corp.
Rajesh Narasimha, MetaIO
Sebastiano Battiato, U.of Catania
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
Zhu Li, Hong Kong Polytechnic U.
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
Witek Jachimczyk, Mathworks
Zoran Zivkovic, Intel Corporation
Stephan Weiss, Klagenfurt University
Roland Brockers, JPL
Thomas Kadiofsky, AIT Austrian Institute of Technology
Markus Murschitz, AIT Austrian Institute of Technology
Nicolas Thorstensen, IVISO GMBH

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