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The digital skeleton in modern video analysis - inter- and intraspecific comparsionofindividualrigs

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Gesellschaft für Informatik e.V.


New methods for identifying individuals based on their digital skeleton (rig) gain attention in digital forensics. To ensure a solid comparison, understanding the development of this digital skeleton is crucial. One approach is manually creating a rig using a parametrized 3D room and cameras with embedded pictures, capturing multiple angles of the same person with markers on defined spots. Using these pictures and the room, a movable marker-based rig can be built in software like Blender (https://www.blender.org). It can be used to fit the rigged doll into another scene or compare proportions. For a similar process, algorithm-based software like OpenPose (https://github.com/CMU- Perceptual-Computing-Lab/openpose) estimates a digital skeleton from pictures or videos. The output includes JSON files with joint coordinates and pictures with embedded skeletons, which can manually be processsed into a rig. While these procedure can save time and expand applications, precision and supervision differ from marker-based rigs. A comparative study assessing similarity is discussed in the following paper.


Pistorius, Elena; Richter, Sabine; Labudde, Dirk (2023): The digital skeleton in modern video analysis - inter- and intraspecific comparsionofindividualrigs. INFORMATIK 2023 - Designing Futures: Zukünfte gestalten. DOI: 10.18420/inf2023_72. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-731-9. pp. 611-621. Cybersecurity & Privatsphäre - 3. International Workshop on Digital Forensics / IWDF3. Berlin. 26.-29. September 2023