Embedded Computer Vision

• Corporate Author: SpringerLink (Online service)
• Other Authors: Kisa anin, Branislav. (Editor), Bhattacharyya, Shuvra S. (Editor), Chai, Sek. (Editor)
• Format: Electronic
• Language: English
• Published: London : Springer London, 2009.
• Series: Advances in Pattern Recognition
• Subjects: Computer science.; Computer vision.; Optical pattern recognition.; Computer Science.; Image Processing and Computer Vision.; Pattern Recognition.; Computer Imaging, Vision, Pattern Recognition and Graphics.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-84800-304-0

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...

Table of Contents:

• Part I: Introduction
• Hardware Considerations for Embedded Vision Systems
• Design Methodology for Embedded Computer Vision Systems
• We Can Watch It For You Wholesale
• Part II: 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
• Part III: Looking Ahead
• Mobile Challenges for Embedded Computer Vision
• Challenges in Video Analytics
• Challenges of Embedded Computer vision in Automotive Safety Systems.