Automatic tracking of multiple zebrafish larvae with resilience against segmentation errors

Wang, X, Cheng, E, Burnett, I, Wilkinson, R and Lech, M 2018, 'Automatic tracking of multiple zebrafish larvae with resilience against segmentation errors', in Proceedings of the 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington, DC, United States, 4-7 April 2018, pp. 1157-1160.


Document type: Conference Paper
Collection: Conference Papers

Title Automatic tracking of multiple zebrafish larvae with resilience against segmentation errors
Author(s) Wang, X
Cheng, E
Burnett, I
Wilkinson, R
Lech, M
Year 2018
Conference name ISBI 2018
Conference location Washington, DC, United States
Conference dates 4-7 April 2018
Proceedings title Proceedings of the 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
Publisher IEEE
Place of publication United States
Start page 1157
End page 1160
Total pages 4
Abstract The accurate tracking of zebrafish larvae movement is essential to many biomedical and neural science applications. This paper develops an accurate and reliable multiple zebrafish larvae tracking system resilient to detection and segmentation errors due to object misdetection and occlusion. The proposed system can therefore be applied to microscopic videos in unconstrained, realistic imaging conditions. Evaluated on a set of single and multiple adult and larvae zebrafish videos, a wide variety of (complex) video conditions were tested, including shadowing, labels, water bubbles and background artefacts. The proposed system obtains decreased overall MOTP error of up to 44.49 pixels compared to the commercial LoliTrack system, and increased MOTA accuracy by 31.57% compared with the state-of-the-art idTracker approach. The results offer an additional advantage of improved position detection, increased accuracy and unique identification compared to current techniques.
Subjects Signal Processing
Keyword(s) Videos
Tracking
Trajectory
Training
Imaging
Adaptation models
Sparse matrices
DOI - identifier 10.1109/ISBI.2018.8363776
Copyright notice © 2018 IEEE
ISBN 9781538636374
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