Abstract:
In this paper, we propose a method that automatically estimates surgical phases in a specified workflow with a multi-camera system. More specifically, our goal is to outp...Show MoreMetadata
Abstract:
In this paper, we propose a method that automatically estimates surgical phases in a specified workflow with a multi-camera system. More specifically, our goal is to output an appropriate phase label for each one-second of input videos captured by multiple cameras in an operating room. The fundamental idea behind our work lies in constructing a hidden Markov model based on motion features, which are actually the PCA-compressed histograms of optical flow of general working contexts, including medical staff, equipment, and materials.
Published in: 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)
Date of Conference: 28 June 2017 - 01 July 2017
Date Added to IEEE Xplore: 27 July 2017
ISBN Information: