The hitchhiker’s guide to endangered species pose estimation

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

The hitchhiker’s guide to endangered species pose estimation

Popis výsledku v původním jazyce

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&apos;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.

Název v anglickém jazyce

The hitchhiker’s guide to endangered species pose estimation

Popis výsledku anglicky

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&apos;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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

<a href="/cs/project/SS05010008" target="_blank" >SS05010008: Detekce, identifikace a monitoring živočichů pokročilými metodami počítačového vidění</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

Počet stran výsledku

10

Strana od-do

41-50

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

Piscataway

Místo konání akce

Waikoloa, HI, USA

Datum konání akce

1. 1. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001223022200067