The hitchhiker’s guide to endangered species pose estimation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F24%3A43972917" target="_blank" >RIV/49777513:23520/24:43972917 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10495660" target="_blank" >https://ieeexplore.ieee.org/document/10495660</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/WACVW60836.2024.00012" target="_blank" >10.1109/WACVW60836.2024.00012</a>

Result language
angličtina
Original language name
The hitchhiker’s guide to endangered species pose estimation
Original language description
Preserving endangered species is a critical component of maintaining a balanced and healthy ecosystem. Animal pose, especially for rare animals, allows an understanding of various aspects of biology and ecology, including but not limited to individual animal behavior analysis and study of migration patterns. Using the small-scale dataset from (i.e., red-list species) monitoring efforts of Eurasian lynx (Lynx lynx), we provide a comprehensive guide to a simple yet effective 2D pose estimation suitable for endangered species. We showcase the contribution of a variety of methods and their influence on the performance in terms of AP, AP 0.75 , AP 0.85 , and PCK 0.05 . Our experiments provide a hitchhiker's guide to (i) pre-trained model selection, (ii) model pre-training and fine-tuning, (ii) augmentation strategies, (iii) training hyper-parameters settings, (iv) number of required real data, and (v) use of synthetic data. Using all the bells and whistles and HRNet-w32, we achieved 0.855AP and 0.936PCK 0.05 lowering the relative error of a pretrained model by more than 50%. Last but not least, we have developed a system for photorealistic synthetic camera trap data generation. The system is available at: https://github.com/strakaj/Synthetic-animal-pose-generation.git.
Czech name
—
Czech description
—

Project
<a href="/en/project/SS05010008" target="_blank" >SS05010008: Detection, identification and monitoring of animals by advanced computer vision methods.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
ISBN
979-8-3503-7028-7
ISSN
2572-4398
e-ISSN
2690-621X
Number of pages
10
Pages from-to
41-50
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Piscataway
Event location
Waikoloa, HI, USA
Event date
Jan 1, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001223022200067

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