Assessment of Laboratory Mouse Activity in Video Recordings Using Deep Learning Methods

Kopaczka M, Tillmann D, Ernst L, Schock J, Tolba R, Merhof D (2019)

Publication Type: Conference contribution

Publication year: 2019

Journal

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 3673-3676

Conference Proceedings Title: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Event location: Berlin, DEU

ISBN: 9781538613115

DOI: 10.1109/EMBC.2019.8857807

Abstract

Analysis of laboratory animal behavior allows assessment of animal wellbeing. We present a method for the classification of different activities of laboratory mice by analyzing video clips using three deep learning methods. Animals placed in observation cages are filmed and short video clips are labelled as belonging to one of five defined behaviors. Subsequently, three different methods based on convolutional neural networks (CNNS) are applied to classify the clips. The best performing method - a two-stream network that analyzes individual frames as well as the video's optical flow - achieves an accuracy of 86.4%, including detection of important behavioral patterns such as self-grooming. These results show that the presented analysis protocol allows automated assessment of animal behavior by algorithmic analysis of videos of mice on observation boxes.

Involved external institutions

Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen DE Germany (DE)

How to cite

APA:

Kopaczka, M., Tillmann, D., Ernst, L., Schock, J., Tolba, R., & Merhof, D. (2019). Assessment of Laboratory Mouse Activity in Video Recordings Using Deep Learning Methods. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 3673-3676). Berlin, DEU: Institute of Electrical and Electronics Engineers Inc..

MLA:

Kopaczka, Marcin, et al. "Assessment of Laboratory Mouse Activity in Video Recordings Using Deep Learning Methods." Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019, Berlin, DEU Institute of Electrical and Electronics Engineers Inc., 2019. 3673-3676.

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