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DataDriven Motion Detection and Characterization in PET Brain Scans Using List Mode by John Dennis Shaw Graduate Program in Medical Physics Duke UniversityDate: Approved: Timothy Tarkington, Supervisor
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Data-driven motion detection is a technique used in video surveillance systems to analyze movement patterns based on collected data.
Any organization or individual using a video surveillance system with motion detection capabilities may be required to file data-driven motion detection.
To fill out data-driven motion detection, one must provide detailed information about the video surveillance system, the type of motion detection used, and any relevant data collected.
The purpose of data-driven motion detection is to improve security and monitor activities by analyzing motion patterns in video footage.
The report must include details about the video surveillance system, the type of motion detection technology used, and any data collected related to movement patterns.
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