Training-free temporal object tracking in surgical videos

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Subhadeep Koley, Abdolrahim Kadkhodamohammadi, Santiago Barbarisi, Danail Stoyanov, Imanol Luengo

Published: 01 Jan 2025, Last Modified: 13 Nov 2025Int. J. Comput. Assist. Radiol. Surg. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: In this paper, we present a novel approach for online object tracking in laparoscopic cholecystectomy (LC) surgical videos, targeting localisation and tracking of critical anatomical structures and instruments. Our method addresses the challenges of costly pixel-level annotations and label inconsistencies inherent in existing datasets.