Orban, Chris M. Zimmerman, Scott

Methods to Simplify Object Tracking in Video Data (Journal Article) - Washington :American Association of Physics Teachers , October 2023 - 576–579p. - The Physics Teacher , Volume 61, Number 7 .

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Abstract: Recent years have seen an explosion of interest in analyzing the motion of objects in video data as a way for students to connect the concepts of physics to something tangible like a video recording of an experiment. Inexpensive devices can now record videos at 120 or 240 frames/s, and, among instructors, there is an appetite for substantially rethinking the objectives of introductory labs (e.g., Refs.)

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Data science| Image processing| Computational methods| Educational aids| Distance education