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Branislav Kisačanin, Shuvra S. Bhattacharyya and Sek Chai
I-XXVIII
Front matter
3-76
Part I / Introduction
3-26
Hardware Considerations for Embedded Vision Systems
27-47
Design Methodology for Embedded Computer Vision Systems
49-76
We Canwatch It For You Wholesale
79-216
Part II / Advances in Embedded Computer Vision
79-100
Using Robust Local Features on DSP-Based Embedded Systems
101-120
Benchmarks of Low-Level Vision Algorithms for DSP, FPGA, and Mobile PC Processors
121-138
SAD-Based Stereo Matching Using FPGAs
139-162
Motion History Histograms for Human Action Recognition
163-175
Embedded Real-Time Surveillance Using Multimodal Mean Background Modeling
177-194
Implementation Considerations for Automotive Vision Systems on a Fixed-Point DSP
195-216
Towards OpenVL: Improving Real-Time Performance of Computer Vision Applications
219-279
Part III / Looking Ahead
219-235
Mobile Challenges for Embedded Computer Vision
237-256
Challenges in Video Analytics
257-279
Challenges of Embedded Computer Vision in Automotive Safety Systems
281-282
Back matter
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