Object Detection and Person Tracking in CathLab with Automatically Calibrated Cameras
Y. Jiang (Student TU Delft)
R. Dai (Student TU Delft)
J. Zeng (Student TU Delft)
R.M. Butler (TU Delft - Mechanical Engineering)
T.S. Vijfvinkel (TU Delft - Mechanical Engineering)
Y. Wang (TU Delft - Electrical Engineering, Mathematics and Computer Science)
J.J. van den Dobbelsteen (TU Delft - Mechanical Engineering)
M. van der Elst (TU Delft - Mechanical Engineering)
J.H.G. Dauwels (TU Delft - Electrical Engineering, Mathematics and Computer Science)
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Abstract
Workflow analysis is a young research field that has been gaining traction in recent years. Work in this field aims to improve the efficiency and safety in operating rooms by analysing surgical processes and providing feedback or support, where observations are made and evaluated by algorithms rather than human experts. For our study, we mount five cameras from different angles in a Catheterization Laboratory (CathLab) to observe and analyse Cardiac Angiogram procedures. To automate the classification of workflow and personnel activities, we propose a pipeline that first automates the camera calibration of the 5-camera network then detect locations of medical equipment and track personnel activities...