B04: Perception of Human
The subproject "Perception of Human" (B04) deals with video-based recognition in the context of manual disassembly/reassembly/assembly in the circular factory. The goal is to develop deep-learning-based methods that capture the current state of humans at a fine granular level, distinguish between known and unknown situations, and generalize to new sequences of actions with little training data. To train the models, an annotated database will be created in close collaboration with other project partners. Recognition pipelines for additional features (e.g., body pose) that are needed by other subprojects will also be developed.
Principal Investigators
Dr.-Ing. Roitberg is particularly well-known in the field of data-efficient processes, especially for activity recognition.
Prof. Stiefelhagen contributes his expertise in the area of video-based human perception with the aim of making interaction with technical systems more user-friendly.