Search
Abstract
Automation of complex social behavior analysis of experimental animals would allow for faster, more accurate and reliable research results in many biological, pharmacological, and medical fields. However, there are behaviors that are not only difficult to detect for the computer, but also for the human observer. Here, we present an analysis of the method for identifying aggressive behavior in thermal images by detecting traces of saliva left on the animals’ fur after a bite, nape attack, or grooming. We have checked the detection capabilities using simulations of social test conditions inspired by real observations and measurements. Detection of simulated traces different in size and temperature on single original frame revealed the dependence of the parameters of commonly used corner detectors (R score, ranking) on the parameters of the traces. We have also simulated temperature of saliva changes in time and proved that the detection time does not affect the correctness of the approximation of the observed process. Furthermore, tracking the dynamics of temperature changes of these traces allows to conclude about the exact moment of the aggressive action. In conclusion, the proposed algorithm together with thermal imaging provides additional data necessary to automate the analysis of social behavior in rodents.
Citations
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Authors (4)
-
Wojciech Glac dr
- Uniwersytet Gdański
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/app11146644
- License
-
open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
Applied Sciences-Basel
no. 11,
ISSN: 2076-3417 - Language:
- English
- Publication year:
- 2021
- Bibliographic description:
- Mazur-Milecka M., Rumiński J., Glac W., Głowacka N.: Detection and Model of Thermal Traces Left after Aggressive Behavior of Laboratory Rodents// Applied Sciences-Basel -Vol. 11,iss. 14 (2021), s.6644-
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/app11146644
- Verified by:
- Gdańsk University of Technology
seen 78 times