@inproceedings{076f25bfbfd4468798a5ad28147d6f11,
title = "Data-driven visual tracking in retinal microsurgery",
abstract = "In the context of retinal microsurgery, visual tracking of instruments is a key component of robotics assistance. The difficulty of the task and major reason why most existing strategies fail on in-vivo image sequences lies in the fact that complex and severe changes in instrument appearance are challenging to model. This paper introduces a novel approach, that is both data-driven and complementary to existing tracking techniques. In particular, we show how to learn and integrate an accurate detector with a simple gradient-based tracker within a robust pipeline which runs at framerate. In addition, we present a fully annotated dataset of retinal instruments in in-vivo surgeries, which we use to quantitatively validate our approach. We also demonstrate an application of our method in a laparascopy image sequence.",
author = "Raphael Sznitman and Karim Ali and Rog{\'e}rio Richa and Taylor, {Russell H.} and Hager, {Gregory D.} and Pascal Fua",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2012.; 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012 ; Conference date: 05-10-2012 Through 05-10-2012",
year = "2012",
doi = "10.1007/978-3-642-33418-4_70",
language = "English (US)",
isbn = "9783642334177",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "568--575",
editor = "Le Lu and Antonio Criminisi and Georg Langs and Albert Montillo and Menze, {Bjoern H.} and Nicholas Ayache and Herv{\'e} Delingette and Menze, {Bjoern H.} and Georg Langs and Zhuowen Tu and Polina Golland and Kensaku Mori",
booktitle = "Medical Image Computing and Computer-Assisted Intervention - MICCAI2012 - 15th International Conference, Proceedings",
}