Towards Video Understanding of Laparoscopic Surgery: Instrument Tracking
نویسندگان
چکیده
Endoscopic surgery routinely produces video data. Automated understanding of these data has applications both online (visual servoing for telemanipulation) and offline (procedure analysis, annotation and content-based retrieval). As a step towards such applications, a method for tracking surgical instruments in endoscopic video without modifications to instruments or endoscopic equipment is described. The shape model used is flexible enough to track a variety of surgical instruments. Colour distributions are used to compute measurements that drive particle filter-based tracking. The method is demonstrated using routinely obtained video from laparoscopic cholecystectomy.
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