2014

Distributed Embedded Smart Cameras

Architectures, Design and Applications

Editors:

ISBN: 978-1-4614-7704-4 (Print) 978-1-4614-7705-1 (Online)

Table of contents (12 chapters)

  1. Front Matter

    Pages i-xiv

  2. Architectures and Technologies for Embedded Smart Cameras

    1. Front Matter

      Pages 1-1

    2. No Access

      Book Chapter

      Pages 3-23

      Platforms and Architectures for Distributed Smart Cameras

    3. No Access

      Book Chapter

      Pages 25-41

      A Survey of Systems-on-Chip Solutions for Smart Cameras

    4. No Access

      Book Chapter

      Pages 43-68

      Reconfigurable Architectures for Distributed Smart Cameras

    5. No Access

      Book Chapter

      Pages 69-90

      Design and Verification Environment for High-Performance Video-Based Embedded Systems

  3. Smart Cameras in Mobile Environments

    1. Front Matter

      Pages 91-91

    2. No Access

      Book Chapter

      Pages 93-120

      Distributed Mobile Computer Vision: Advances, Challenges and Applications

    3. No Access

      Book Chapter

      Pages 121-150

      Autonomous Tracking of Vehicle Taillights and Alert Signal Detection by Embedded Smart Cameras

    4. No Access

      Book Chapter

      Pages 151-172

      Automatic Fall Detection and Activity Classification by a Wearable Camera

  4. Applications

    1. Front Matter

      Pages 173-173

    2. No Access

      Book Chapter

      Pages 175-188

      Tracking by Detection Algorithms Using Multiple Cameras

    3. No Access

      Book Chapter

      Pages 189-209

      Consistent Human Tracking Over Self-organized and Scalable Multiple-camera Networks

    4. No Access

      Book Chapter

      Pages 211-230

      Soft-Biometrics and Reference Set Integrated Model for Tracking Across Cameras

    5. No Access

      Book Chapter

      Pages 231-255

      A Parallel Approach for Statistical Texture Parameter Calculation

    6. No Access

      Book Chapter

      Pages 257-272

      Multi-modal Sensing for Distracted Driving Mitigation Using Cameras and Crowdsourcing

  5. Back Matter

    Pages 273-273