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Embedded Computer Vision

Overview of attention for book
Cover of 'Embedded Computer Vision'

Table of Contents

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    Book Overview
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    Chapter 1 Hardware Considerations for Embedded Vision Systems
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    Chapter 2 Design Methodology for Embedded Computer Vision Systems
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    Chapter 3 We Canwatch It For You Wholesale
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    Chapter 4 Using Robust Local Features on DSP-Based Embedded Systems
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    Chapter 5 Benchmarks of Low-Level Vision Algorithms for DSP, FPGA, and Mobile PC Processors
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    Chapter 6 SAD-Based Stereo Matching Using FPGAs
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    Chapter 7 Motion History Histograms for Human Action Recognition
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    Chapter 8 Embedded Real-Time Surveillance Using Multimodal Mean Background Modeling
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    Chapter 9 Implementation Considerations for Automotive Vision Systems on a Fixed-Point DSP
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    Chapter 10 Towards OpenVL: Improving Real-Time Performance of Computer Vision Applications
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    Chapter 11 Mobile Challenges for Embedded Computer Vision
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    Chapter 12 Challenges in Video Analytics
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    Chapter 13 Challenges of Embedded Computer Vision in Automotive Safety Systems
Attention for Chapter 4: Using Robust Local Features on DSP-Based Embedded Systems
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