Embedded Computer Vision

ISBN: 978-1-84800-303-3 (Print) 978-1-84800-304-0 (Online)

Table of contents (13 chapters)

  1. Front Matter

    Pages I-XXVIII

  2. Introduction

    1. Front Matter

      Pages 1-1

    2. No Access

      Book Chapter

      Pages 3-26

      Hardware Considerations for Embedded Vision Systems

    3. No Access

      Book Chapter

      Pages 27-47

      Design Methodology for Embedded Computer Vision Systems

    4. No Access

      Book Chapter

      Pages 49-76

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  3. Advances in Embedded Computer Vision

    1. Front Matter

      Pages 77-77

    2. No Access

      Book Chapter

      Pages 79-100

      Using Robust Local Features on DSP-Based Embedded Systems

    3. No Access

      Book Chapter

      Pages 101-120

      Benchmarks of Low-Level Vision Algorithms for DSP, FPGA, and Mobile PC Processors

    4. No Access

      Book Chapter

      Pages 121-138

      SAD-Based Stereo Matching Using FPGAs

    5. No Access

      Book Chapter

      Pages 139-162

      Motion History Histograms for Human Action Recognition

    6. No Access

      Book Chapter

      Pages 163-175

      Embedded Real-Time Surveillance Using Multimodal Mean Background Modeling

    7. No Access

      Book Chapter

      Pages 177-194

      Implementation Considerations for Automotive Vision Systems on a Fixed-Point DSP

    8. No Access

      Book Chapter

      Pages 195-216

      Towards OpenVL: Improving Real-Time Performance of Computer Vision Applications

  4. Looking Ahead

    1. Front Matter

      Pages 217-217

    2. No Access

      Book Chapter

      Pages 219-235

      Mobile Challenges for Embedded Computer Vision

    3. No Access

      Book Chapter

      Pages 237-256

      Challenges in Video Analytics

    4. No Access

      Book Chapter

      Pages 257-279

      Challenges of Embedded Computer Vision in Automotive Safety Systems

  5. Back Matter

    Pages 281-282