FWF - Advanced Learning Tracki - Advanced Learning for Tracking and Detection in Medical Workflow Analysis

In this project we want to advance object detection and tracking by considering a challenging and complex scenario. Surgical workflow recovery is crucial for designing context-sensitive service systems in future operating rooms. Abstract knowledge about actions which are being performed is particularly valuable in the operating room (OR). This knowledge can be used for many applications such as optimizing the workflow, recovering average work-flows for guiding and evaluating training surgeons, automatic report generation and ultimately for monitoring in a context aware operating room. Our objective is to analyze the events happening in the medical operating room, equipped with multiple cameras, in order to prepare the necessary input for fully automatic work-flow analysis.