Robust localization and identification of African clawed frogs in digital images
- Submitting institution
-
The University of Westminster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- q2x8z
- Type
- D - Journal article
- DOI
-
10.1016/j.ecoinf.2013.09.005
- Title of journal
- Ecological Informatics
- Article number
- -
- First page
- 3
- Volume
- 23
- Issue
- -
- ISSN
- 1574-9541
- Open access status
- Out of scope for open access requirements
- Month of publication
- September
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work is a first of its kind developed to automate and accurately identify African clawed frogs (Xenopus laevis sp.) in a lab stem cell research and development environment where conventionally the frogs would be physically tagged causing them pain and discomfort.
This work has totally automated the process of identifying the frogs in their tank habitat without the need to touch them deploying the approaches reported in the paper and thereby eliminating the cruel practice of physical tagging. These approaches have subsequently found use in animal sound segmentation and classification applications.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
