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Embedded Vision System

  1. A high-level optimization methodology is applied for implementing the well-known convolutional face finder (CFF) algorithm for real-time applications on mobile phones, such as teleconferencing, advanced user i...

    Authors: Franck Mamalet, Sébastien Roux and Christophe Garcia
    Citation: EURASIP Journal on Embedded Systems 2007 2007:021724
  2. High-speed video cameras are powerful tools for investigating for instance the biomechanics analysis or the movements of mechanical parts in manufacturing processes. In the past years, the use of CMOS sensors ...

    Authors: R Mosqueron, J Dubois and M Paindavoine
    Citation: EURASIP Journal on Embedded Systems 2007 2007:024163
  3. We develop a design methodology for mapping computer vision algorithms onto an FPGA through the use of coarse-grain reconfigurable dataflow graphs as a representation to guide the designer. We first describe a...

    Authors: Mainak Sen, Ivan Corretjer, Fiorella Haim, Sankalita Saha, Jason Schlessman, Tiehan Lv, Shuvra S Bhattacharyya and Wayne Wolf
    Citation: EURASIP Journal on Embedded Systems 2007 2007:049236
  4. There is currently a strong trend towards the deployment of advanced computer vision methods on embedded systems. This deployment is very challenging since embedded platforms often provide limited resources su...

    Authors: Markus Quaritsch, Markus Kreuzthaler, Bernhard Rinner, Horst Bischof and Bernhard Strobl
    Citation: EURASIP Journal on Embedded Systems 2007 2007:092827
  5. Among many constraints applicable for embedded visions systems in industrial applications, desired processing performance is a determining factor of system costs. For technically and economically successful so...

    Authors: Johannes Fürtler, Konrad J Mayer, Christian Eckel, Jörg Brodersen, Herbert Nachtnebel and Gerhard Cadek
    Citation: EURASIP Journal on Embedded Systems 2007 2007:037317
  6. This paper describes the design of a scalable high-performance vision system which is used in the application area of optical print inspection. The system is able to process hundreds of megabytes of image data...

    Authors: Johannes Fürtler, Peter Rössler, Jörg Brodersen, Herbert Nachtnebel, Konrad J Mayer, Gerhard Cadek and Christian Eckel
    Citation: EURASIP Journal on Embedded Systems 2007 2007:071794
  7. This article presents an embedded multilane traffic data acquisition system based on an asynchronous temporal contrast vision sensor, and algorithms for vehicle speed estimation developed to make efficient use...

    Authors: D Bauer, AN Belbachir, N Donath, G Gritsch, B Kohn, M Litzenberger, C Posch, P Schön and S Schraml
    Citation: EURASIP Journal on Embedded Systems 2007 2007:082174
  8. This paper presents a tool for automatic generation of the memory management implementation for spatial and temporal real-time video processing systems targeting field programmable gate arrays (FPGAs). The gen...

    Authors: Håkan Norell, Najeem Lawal and Mattias O'Nils
    Citation: EURASIP Journal on Embedded Systems 2006 2007:075368
  9. We present methods for processing the LBPs (local binary patterns) with a massively parallel hardware, especially with CNN-UM (cellular nonlinear network-universal machine). In particular, we present a framewo...

    Authors: Olli Lahdenoja, Mika Laiho, Janne Maunu and Ari Paasio
    Citation: EURASIP Journal on Embedded Systems 2006 2007:072316
  10. This paper presents our work on PfeLib—a high performance software library for image processing and computer vision algorithms for an embedded system. The main target platform for PfeLib is the TMS320C6000 ser...

    Authors: Christian Zinner, Wilfried Kubinger and Richard Isaacs
    Citation: EURASIP Journal on Embedded Systems 2006 2007:049051
  11. In computer vision and more particularly in vision processing, the impressive evolution of algorithms and the emergence of new techniques dramatically increase algorithm complexity. In this paper, a novel FPGA...

    Authors: Pierre Chalimbaud and François Berry
    Citation: EURASIP Journal on Embedded Systems 2006 2007:035010
  12. Tracking applications based on distributed and embedded sensor networks are emerging today, both in the fields of surveillance and industrial vision. Traditional centralized approaches have several drawbacks, ...

    Authors: Sven Fleck, Florian Busch and Wolfgang Straßer
    Citation: EURASIP Journal on Embedded Systems 2006 2007:029858