The 8th IEEE Workshop on Embedded Computer Vision
June 16 2012
Providence, RI, USA
(held in conjunction with CVPR 2012)
Call for Papers: (pdf)
Workshop program: (pdf)
Submission site: (click here)
08h30 Welcome Message
Ahmed Nabil Belbachir, General Chair
S1: Keynote Talk (08h35 – 09h20)
Keynote: Trends, Challenges and Opportunities in Embedded Vision
Jeff Bier (President of BDTI and founder of the Embedded Vision Alliance)
Chair: Ahmed Nabil Belbachir (AIT Austrian Institute of Technology)
Thanks to powerful, energy efficient and inexpensive processors and sensors, computer vision can now be implemented in a wide array of cost-sensitive applications that were impractical just a few years ago. As a result, embedded vision is rapidly proliferating, and is poised to become a ubiquitous technology that enhances peoples’ lives every day. In this presentation we will examine the trends that are enabling embedded vision, with particular attention to developments in processors. We will also highlight some of the major commercial opportunities for embedded vision, and we will explore key challenges that must be addressed for embedded vision to reach its full potential.
S2: Smart Cameras (0920–1000)
Chair: Sek Chai (SRI International Sarnoff)
09h20 Single-view obstacle detection for smart back-up camera systems, Jeff Lalonde, Robert Laganière, Luc Martel
09h40 High-Speed Line-Scan Camera with Multi-Line CMOS Color Sensor, Ernst Bodenstorfer, Ylber Hasani, Johannes Fürtler, Jörg Brodersen, Konrad Mayer
10h00 Morning Break
S3: Reconfigurable Computing for Computer Vision (10h30–11h10)
Chair: Boaz Super (Motorola Solutions)
10h30 Stereo Vision Embedded System for Augmented Reality, Eduardo Gudis, Gooitzen van der Wal, Sujit Kuthirummal, Sek Chai, Supun Samarasekera, Rakesh Kumar, Vlad Branzoi
10h50 Feature detection and matching on an SIMD/MIMD hybrid embedded processor, Alejandro Nieto, David López Vilariño, Víctor Brea
S4: Detecting and Tracking Humans (1110–1230)
Chair: Fridtjof Stein (Daimler)
11h10 Head-tracking virtual 3-D display for mobile devices, Miguel Bordallo López, Jari Hannuksela, Olli Silvén, Lixin Fan
11h30 Spatiotemporal Multiple Persons Tracking Using Dynamic Vision Sensor, Ewa Piatkowska, Ahmed Nabil Belbachir, Stephan Schraml, Margrit Gelautz
11h50 SURF Cascade Face Detection Acceleration on Sandy Bridge Processor, Eric Li, Liu Yang, Bin Wang, Jianguo Li, Ya-ti Peng
12h10 Real-time Body Motion Analysis for Dance Pattern Recognition, Bernhard Kohn, Aneta Nowakowska, Ahmed Nabil Belbachir
12h30 Lunch Break
S5: Embedded Vision for Safety and Security (1330–1445)
Chair: Margrit Gelautz (Vienna University of Technology)
13h30 Embedded Smart Sensor for Outdoor Parking Lot Lighting Control, Zhong Zhang, Amit Mistry, Weihong Yin, Peter Venetianer
13h50 Embedded Fall Detection with a Neural Network and Bio-Inspired Stereo Vision, Martin Humenberger, Stephan Schraml, Christoph Sulzbachner, Ahmed Nabil Belbachir, Ágoston Srp, Ferenc Vajda
S6: Poster Session: Technologies and Applications (1410–1500)
Chair: Andrew Hunter (University of Lincoln)
– A GPU Accelerated Fast Directional Chamfer Matching Algorithm and a Detailed Comparison with a Highly Optimized CPU Implementation, Michael Rauter, David Schreiber
– Event-driven Embodied System for Feature Extraction and Object Recognition in Robotic Applications, Georg Wiesmann, Stephan Schraml, Martin Litzenberger, Ahmed Nabil Belbachir, Chiara Bartolozzi, Michael Hofstätter
– A CPU-GPU Hybrid People Counting System for Real-World Airport Scenarios using Arbitrary Oblique View Cameras, David Schreiber, Michael Rauter
15h00 Afternoon Break
S7: Invited Talks 1: Vision Technology and Programs (1530–1640)
Chair: Andrew Hunter (University of Lincoln)
15h30 Vision Processing in Extreme Low Light and High Motion Environments, Sek Chai (SRI)
16h05 DARPA’s Mind’s Eye Program: The Way Ahead for Visual Intelligence, James Donlon (DARPA)
S8: Invited Talks 2: Automotive Safety and Challenges (1640–1750)
Chair: Branislav Kisačanin (Texas Instruments)
16h40 Embedded Computer Vision for Safety and Security: an FPGA-based Perspective, Vittorio Murino (Italian Institute of Technology)
17h15 The Challenge of Putting Vision Algorithms into a Car, Fridtjof Stein (Daimler)
17h50 Paper Award & Closing Remarks
Best Paper Award
The Best Paper Award for EVW 2012 is sponsored by:
The Embedded Computer Vision project, which is under the COMET program of the Austrian Research Promotion Agency (FFG).
Jeff Bier is founder of the Embedded Vision Alliance (www.Embedded-Vision.com). The Embedded Vision Alliance is an industry partnership formed to enable the market for embedded vision technology by inspiring and empowering design engineers to create more capable and responsive products through integration of vision capabilities. The Alliance provides training videos, tutorial articles, code examples, and an array of other resources (all free of charge) on its web site, http://www.Embedded-Vision.com. Jeff is also co-founder and president of Berkeley Design Technology, Inc. (www.BDTI.com), a trusted resource for independent analysis and specialized engineering services in the realm of embedded digital signal processing applications. Jeff oversees BDTI’s benchmarking and analysis of chips, tools, and other technology. Jeff is also a key contributor to BDTI’s consulting services, which focus on product-development, marketing, and strategic advice for companies using and developing embedded audio, video, wireless and vision technologies.
James J. Donlon is a Program Manager at the Defense Advanced Research Projects Agency (DARPA) in Arlington, VA. He is the program manager for the “Mind’s Eye” program, which is focused on achieving new capabilities in activity recognition for ground-level, full-motion video. The Mind’s Eye initiative has led to the active new multidisciplinary field of “visual intelligence”. Mr. Donlon is also program manager for DARPA’s “Computer Science Study Group” program. Through this program, DARPA supports 72 computer science professors in applying their research projects to the needs of national defense. Through this program Mr. Donlon introduces these academic researchers to dozens of military and intelligence organizations, leading to collaborative applied research aimed at solving contemporary defense challenges. Mr. Donlons’ other DARPA research programs include “Software Producibility” and “Application Communities”. Prior to joining DARPA, Jim was an active-duty Army officer, retiring as a Lieutenant Colonel in 2008. His previous positions include Director of the Knowledge Engineering Group at the U.S. Army Center for Strategic Leadership; Chief of Technical Support and Operations Officer of the Korea Battle Simulation Center in Seoul, Korea; and most recently as Executive Officer of ICTM in NATO Headquarters in Brussels, Belgium.
Fridtjof Stein received a Diploma degree in Computer Science from the Karlsruhe Technical University in 1988, and a PhD from the University of Southern California in 1992. Since 1992, he has been a Senior Research Scientist at the Daimler Research Group in Boeblingen, Germany. From 1992 to 1994 he was responsible for the software integration at the EU Commission’s Prometheus project, where for the first time autonomous driving in public traffic based on computer vision was demonstrated. Since then Mr. Stein is working on several vision related projects at Daimler with the focus on embedded systems. His research interests include real-time vision especially in the fields of stereo vision, optical flow, object detection, and ground modeling in the automotive domain.
Vittorio Murino is full professor at the University of Verona, Italy, and director of the PAVIS (Pattern Analysis and Computer Vision) department at the Istituto Italiano di Tecnologia. He took the Laurea degree in Electronic Engineering in 1989 and the Ph.D. in Electronic Engineering and Computer Science in 1993 at the University of Genova, Italy. He held a post-doctoral position from 1993 to 1995, working in the Signal Processing and Understanding Group of the Dept. of Biophysical and Electronic Engineering of the University of Genova as supervisor of research activities on image processing for object recognition and pattern classification in underwater environments. From 1995 to 1998, he was assistant professor at the Dept. of Mathematics and Computer Science of the University of Udine, Italy, and since 1998 he works at the University of Verona. He was chairman of the Department of Computer Science from 2001, year of foundation, to 2007. Prof. Murino is scientific responsible of several national and European projects and evaluator of EU project proposals related to several frameworks and programs. Currently, he is working at the Istituto Italiano di Tecnologia in Genova, Italy, to set up and lead the PAVIS department involved in computer vision, machine learning, and image analysis issues. His main research interests include: computer vision and pattern recognition/machine learning, in particular, probabilistic techniques for image and video processing, with applications on video surveillance, biomedical image analysis and bioinformatics. Prof. Murino has co-authored ~250 papers in refereed journals and international conferences, and has been a guest co-editor of special issues in relevant scientific journals. He is a member of the editorial board of Pattern Recognition, Pattern Analysis and Applications, and Machine Vision & Applications journals, as well as of the IEEE Transactions on Systems Man, and Cybernetics – Part B: Cybernetics. Prof. Murino is a senior member of the IEEE and Fellow of the IAPR.
Sek Chai is an R&D technical manager and researcher at SRI International, where he leads a team focused on advanced embedded computing. He is currently working on low-power, high performance systems with applications in robotics, surveillance and intelligence. Prior to joining SRI, Dr. Chai developed imaging and video solutions for next generation mobile devices and home broadband products at Motorola Labs. He co-founded ComputerVisionCentral.com, a leading on-line community for computer vision and related technologies. He oversees the Embedded Vision Workshop series, now in its eighth year. He co-edited a book on Embedded Computer Vision, and contributed a chapter on computer vision for camera phones. He was also a guest editor for a CVIU special issue on embedded vision. He is a senior member of IEEE and ACM. He holds a PhD in Electrical Engineering from Georgia Tech. One of his goals is to bridge the gap between academia and industry in the computer vision.
Call For Participation
Recent years have witnessed a significant increase in the use of embedded systems for vision. Applications range from accurate, performance-centric systems to high volume, low-cost, light weight and energy efficient consumer devices. Computer vision has been deployed in many applications, for example, in video search and annotation, surveillance, computer-aided surgery, for gesture and body movement detection in video games, to assist drivers in automotive safety and for in-home monitoring of vulnerable persons. Embedded computer vision is part of a growing trend towards developing low-cost “smart sensors” that use local “analytics” to interpret data, passing on relatively high level alerts or summary information via network connectivity.
Embedded vision applications are built upon advances in vision algorithms, embedded processing architectures, advanced circuit technologies, and new electronic system design methodologies. They are implemented on embedded processing devices and platforms such as field programmable gate arrays (FPGAs), programmable digital signal processors (DSPs), graphics processing units (GPUs), and various kinds of heterogeneous multi-core devices. They are developed under significant resource constraints of processing, memory, power, size, and communication bandwidth that pose significant challenges to attaining required levels of performance and speed, and frequently exploit the inherent parallelism of the specialized platforms to address these challenges. Given the heterogeneous and specialized nature of these platforms, efficient development methods are an important issue.
The Embedded Vision Workshop (EVW) aims to bring together researchers working on vision problems that share embedded system characteristics. Research papers are solicited in, but not limited to, the following topics:
- Analysis of vision problems specific to embedded systems.
- Analysis of embedded systems problems specific to computer vision.
- Embedded computer vision for robotics
- New trends in programmable processors and their computational models.
- Applications of and algorithms for embedded vision on standard parallelized platforms such as GPUs (PC, embedded and mobile).
- Applications of and algorithms for embedded vision on reconfigurable platforms such as FPGAs.
- Applications of and algorithms for embedded computer vision on programmable platforms DSPs and multicore SoC such as the Cell Processor.
- Applications of embedded computer vision on mobile devices including phones.
- 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 computer vision
- User interface designs and CAD tools for embedded computer vision applications
- Hardware enhancements (lens, imager, processor) that impact computer vision applications
- Software enhancements (OS, middleware, vision libraries, development tools) that impact embedded computer vision application
- Methods for standardization and measurement of computer vision functionality as they impact embedded computer vision
- Performance metrics for evaluating embedded systems performance.
- Hybrid embedded systems combining vision and other sensor modalities
Six of the previous Workshops on Embedded Computer Vision (ECVW) were held in conjunction with CVPR from 2005 to 2011, except for the fifth which was held in conjunction with ICCV2009. These events were very successful. Selected papers workshops have been published in a special issue of the EURASIP Journal on Embedded Systems and in a book on Embedded Computer Vision. The Workshop is now renamed Embedded Vision (EVW) to reflect changes in the field.
- Paper submission: March 16, 2012 (New date)
- Notification to the authors: April 9, 2012
- Camera ready copy: April 30, 2012
- Workshop: June 16, 2012
Submission Process / Information
Papers are limited to 6 pages +up to 2 pages (with extra page charge). Please use the CVPR author kit to format the papers here: (http://www.cvpr2012.org/home/submission/author-guidelines). The workshop chairs reserve the right to reject papers violating the paper length and formatting instructions outright, without review.
The submission site is: (click here).
Andrew Hunter, University of Lincoln, UK
Ahmed Nabil Belbachir, AIT Austrian Institute of Technology
utz, Vienna University of Technology
Branislav Kisačanin, Texas Instruments
Sek Chai, SRI International Sarnoff
Boaz J. Super, Motorola Solutions
Abbes Amira, Qatar University
Nikolaos Bellas, University of Thessaly, Greece
Senyo Apewokin, Texas Instruments
Kofi Appiah, University of Lincoln, UK
Sebastiano Battiato, Universita di Catania
Faycal Bensaali, University of Hertsfordshire, UK
Shuvra Bhattacharyya, University of Maryland
Terry Boult, University of Colorado
Xin Chen, Navteq
Rita Cucchiara, University of Modena e Reggio Emilia, Italy
Goksel Dedeoglu, Texas Instruments
Orazio Gallo, Nvidia
Eduardo Gudis, SRI International
Antonio Haro, Navteq
Martin Humenberger, AIT
David Iistrup, Honda Research Institute
Masatoshi Ishikawa, University of Tokyo
Rongrong Ji, Columbia University
Kihwan Kim, Nvidia
Kevin Koeser, ETH Zurich
Zhu Li, Hong Kong Polytechnic University
Abelardo Lopez-Lagunas, ITESM-Toluca, Mexico
Larry Matthies, JPL
Darnell Moore, Texas Instruments
Andre Morin, Lyrtech
Vitorrio Murino, Istituto Italia di Technico
Rajesh Narashimha, Texas Instruments
Zoran Nikolic, Texas Instruments
Burak Ozer, Verificon Corporation
Hassan Rabah, Nancy University
ner, Klagenfurt University of Austria
Sankalita Saha, NASA
Mainak Sen, Cisco Systems
Vinay Sharma, Texas Instruments
University of Palermo
Linda Wills, Georgia Tech
Ruiyang Yang, University of Kentucky, USA
Previous Embedded Computer Vision Workshops (ECVW)