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Low-Cost MPSoC for Real-Time Object Tracking by Viktorio El Hakim is a document available to read on EtoBox.

What is Low-Cost MPSoC for Real-Time Object Tracking about?

This document proposes a low-cost embedded multiprocessor architecture for real-time vision-based object tracking. Two state-of-the-art algorithms, HOG-based object recognition and particle filter tracking, are mapped to the architecture to evaluate functional and real-time performance. The HOG detector proves too computationally expensive to run entirely in software, so it is implemented as a hardware accelerator. The particle filter tracker can be parallelised across multiple processors connected by a net

Author

Viktorio El Hakim

Language

EN