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SCIMITAR: Stochastic Computing In-Memory In-situ Tracking ARchitecture for Event-Based Cameras

This repository contains all software referred to in the SCIMITAR paper published in the CODES+ISSS conference journal in 2024 (LINK HERE).

The dataset is published separately here. This google drive folder includes both the Birds dataset under birds/ and the MOT20 sequence info + ground truth data under birds-mot1.1-trimmed/. All included example scripts expect both these directories to be in the current directory.

The tracking pipeline may be found in the pipeline/ directory, and includes a README with instructions for producing the data shown in Table II of the paper.

The RTL files along with a testbench are included in the hardware/ directory.

For inquiries or assistance with using the included code and rtl, reach out to agraening@ucla.edu

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