A Correlation Based Approach for Velocity Estimation in Real-Time Person Scanning
We want to present a method to estimate the velocity of a moving person in security scanning based on a correlation approach for subimages. The velocity estimate will give a signifikant gain in image quality and is performed without any additional sensors using only the imaging system. It is shown and verified that a high precision velocity estimate may be achieved by thinning out the full image to 1/25 of its original size.
Authors
- André Froehly (ORCID: https://orcid.org/0000-0001-8000-7533)
- Thomas Brandes (ORCID: https://orcid.org/0000-0001-7930-8646)
- Reinhold Herschel (ORCID: https://orcid.org/0000-0002-4547-3325)
- Patrick Wallrath (ORCID: https://orcid.org/0000-0001-9160-6697)
Institutions
- Fraunhofer Institute for High Frequency Physics and Radar Techniques (DE)
- Fraunhofer Institute for Algorithms and Scientific Computing (DE)
- AXO Dresden (Germany) (DE)
Publication Details
- Published
- 2025-05-21
- DOI
- https://doi.org/10.23919/irs64527.2025.11046017
- Primary Topic
- Gait Recognition and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00