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...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
London
Springer London
2009, 2009
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| Edition: | 1st ed. 2009 |
| Series: | Advances in Computer Vision and Pattern Recognition
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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