Projektpraktikum Human Activity Understanding

What it is about

You will learn methods for sensor-assisted recognition, representation, and prediction of human activities. You will practically work with multisensor and multiview camera data, synthetic datasets, annotation tools, and sequential deep-learning models to extract and anticipate activities from scenes.

What you will be able to do

• Understanding the challenges in Human Activity Understanding
• Capture and processing of multisensor and multiview data
• Generating and using synthetic data for activity analyses
• Efficiently annotating ground truth using interactive tools
• Extraction of semantic information (objects, pose, scene)
• Modeling spatio-temporal representations (graphs, 3D scenes)
• Applying sequential DL models (RNNs, Graph Networks, Transformers)
• Planning, conducting and documenting a technical project
• Analyzing and evaluating algorithms and own solutions

What the module consists of

• Labor/PraktikumWeekly lab sessions with intensive supervision, introduction and practical implementation
• ProjektarbeitIndividual or group project with autonomous planning, execution and documentation
• Seminar/PräsentationPresentation of interim and final results, discussion and feedback
• Vorträge/EinführungseinheitenTheoretical foundations, project planning and technical management methods

Teaching method

• Betreute Laborsitzungenfor practical implementation and handling of laboratory equipment
• Frontaleinheiten durch wissenschaftliche MitarbeiterIntroduction to fundamentals and concepts
• Individuelle Methoden der StudierendenEnabling independent work in the project context
• Vorträge zu Projektplanung und Kollaborationstools (SCRUM, Gitlab, Wiki)Support for technical management and efficient teamwork
• Seminar mit Präsentation und DiskussionReflection, feedback and training of presentation techniques