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Clinical patient tracking in the presence of transient and permanent occlusions via geodesic feature

Li, Kun and Burdick, Joel W. (2017) Clinical patient tracking in the presence of transient and permanent occlusions via geodesic feature. In: 2017 IEEE International Conference on Robotics and Automation. IEEE , Piscataway, NJ, pp. 6562-6569. ISBN 978-1-5090-4633-1. http://resolver.caltech.edu/CaltechAUTHORS:20170725-083750305

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Abstract

This paper develops a method to use RGB-D cameras to track the motions of a human spinal cord injury patient undergoing spinal stimulation and physical rehabilitation. Because clinicians must remain close to the patient during training sessions, the patient is usually under permanent and transient occlusions due to the training equipment and the movements of the attending clinicians. These occlusions can significantly degrade the accuracy of existing human tracking methods. To improve the data association problem in these circumstances, we present a new global feature based on the geodesic distances of surface mesh points to a set of anchor points. Transient occlusions are handled via a multi-hypothesis tracking framework. To evaluate the method, we simulated different occlusion sizes on a data set captured from a human in varying movement patterns, and compared the proposed feature with other tracking methods. The results show that the proposed method achieves robustness to both surface deformations and transient occlusions.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/ICRA.2017.7989776DOIArticle
http://ieeexplore.ieee.org/document/7989776/PublisherArticle
https://arxiv.org/abs/1707.07139arXivDiscussion Paper
Additional Information:© 2017 IEEE. This work was supported by the National Institutes of Health, NIBIB.
Funders:
Funding AgencyGrant Number
NIHUNSPECIFIED
Subject Keywords:Tracking, Transient analysis, Training, Cameras, Three-dimensional displays, Robustness, Sensors
Record Number:CaltechAUTHORS:20170725-083750305
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20170725-083750305
Official Citation:K. Li and J. W. Burdick, "Clinical patient tracking in the presence of transient and permanent occlusions via geodesic feature," 2017 IEEE International Conference on Robotics and Automation (ICRA), Singapore, Singapore, 2017, pp. 6562-6569. doi: 10.1109/ICRA.2017.7989776 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7989776&isnumber=7988677
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:79323
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:25 Jul 2017 16:11
Last Modified:25 Jul 2017 16:13

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