Richter, SabineLabudde, DirkKlein, MaikeKrupka, DanielWinter, CorneliaGergeleit, MartinMartin, Ludger2024-10-212024-10-212024978-3-88579-746-32944-7682https://dl.gi.de/handle/20.500.12116/45184Analyzing video footage can make an important contribution to solving crimes, but it is often limited by challenges such as hidden faces. Modern methods of the digital age rely on anthropometric measurements to overcome these limitations. However, current techniques, often originating from other sectors such as the gaming industry, offer new potential. In this context, a possible new approach based on the application of 3D human pose estimation will be presented. This would offer the possibility of directly matching two people (perpetrator, suspect) using one video of each. In particular, this new approach would significantly reduce the scope of the necessary work steps and the time required. This also applies in comparison to methods that already use 2D position estimation. The new approach presented here could contribute to a significant increase in forensic efficiency if successfully implemented after testing and evaluation on a study dataset and real case data.en3D human pose estimationforensic efficiencyanthropometric measurementsvideo analysisText/Conference Paper10.18420/inf2024_261617-54682944-7682