Under CopyrightBäcker, PaulPaulBäckerMaier, GeorgGeorgMaier2025-06-242025-06-242025https://doi.org/10.24406/publica-4812https://doi.org/10.24406/publica-4812https://publica.fraunhofer.de/handle/publica/48890410.5162/SMSI2025/B6.310.24406/publica-4812Event-based cameras excel in representing dynamic changes efficiently but can be overwhelmed in scenarios with strong global motion, such as conveyor belt systems. We propose a motion compensation method that filters events to focus on relative motion deviations. Our method significantly reduces the event-stream size while maintaining or even improving tracking accuracy. Our approach incorporates prior knowledge of global motion and demonstrates its efficacy in sensor-based sorting tasks.enevent-based visionmotion compensationmultitarget trackingsensor-based sortingconference paper