Embedded Computer Vision

Embedded Computer Vision, exemplified by the migration from powerful workstations to embedded processors in computer vision applications, is a new and emerging field that enables an associated shift in application development and implementation. This comprehensive volume brings together a wealth of...

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Bibliographic Details
Call Number:Libro Electrónico
Corporate Author: SpringerLink (Online service)
Other Authors: Kisacanin, Branislav (Editor), Bhattacharyya, Shuvra S. (Editor), Chai, Sek (Editor)
Format: Electronic eBook
Language:Inglés
Published: London : Springer London : Imprint: Springer, 2009.
Edition:1st ed. 2009.
Series:Advances in Computer Vision and Pattern Recognition,
Subjects:
Computer vision.
Pattern recognition systems.
Image processing-Digital techniques.
Computer Vision.
Automated Pattern Recognition.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Online Access:Texto Completo
Table of Contents:
  • Hardware Considerations for Embedded Vision Systems
  • Design Methodology for Embedded Computer Vision Systems
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  • Advances in Embedded Computer Vision
  • Using Robust Local Features on DSP-Based Embedded Systems
  • Benchmarks of Low-Level Vision Algorithms for DSP, FPGA, and Mobile PC Processors
  • SAD-Based Stereo Matching Using FPGAs
  • Motion History Histograms for Human Action Recognition
  • Embedded Real-Time Surveillance Using Multimodal Mean Background Modeling
  • Implementation Considerations for Automotive Vision Systems on a Fixed-Point DSP
  • Towards OpenVL: Improving Real-Time Performance of Computer Vision Applications
  • Looking Ahead
  • Mobile Challenges for Embedded Computer Vision
  • Challenges in Video Analytics
  • Challenges of Embedded Computer Vision in Automotive Safety Systems.

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