Identification of free-ranging mugger crocodiles by applying deep learning methods on UAV imagery
Individual identification contributes significantly towards investigating behavioral
mechanisms of animals and understanding underlying ecological principles. Most studies …
mechanisms of animals and understanding underlying ecological principles. Most studies …
SeaTurtleID: A novel long-span dataset highlighting the importance of timestamps in wildlife re-identification
This paper introduces SeaTurtleID, the first public large-scale, long-span dataset with sea
turtle photographs captured in the wild. The dataset is suitable for benchmarking re …
turtle photographs captured in the wild. The dataset is suitable for benchmarking re …
FIN-PRINT a fully-automated multi-stage deep-learning-based framework for the individual recognition of killer whales
Biometric identification techniques such as photo-identification require an array of unique
natural markings to identify individuals. From 1975 to present, Bigg's killer whales have …
natural markings to identify individuals. From 1975 to present, Bigg's killer whales have …
Matching individual Ladoga ringed seals across short-term image sequences
Automated wildlife reidentification has attracted increasing attention in recent years as it
provides a non-invasive tool to identify and to track individual wild animals over time. In this …
provides a non-invasive tool to identify and to track individual wild animals over time. In this …
Pre-trained models are not enough: active and lifelong learning is important for long-term visual monitoring of mammals in biodiversity research—individual …
Animal re-identification based on image data, either recorded manually by photographers or
automatically with camera traps, is an important task for ecological studies about biodiversity …
automatically with camera traps, is an important task for ecological studies about biodiversity …
SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification
This paper introduces the first public large-scale, long-span dataset with sea turtle
photographs captured in the wild-SeaTurtleID2022. The dataset contains 8729 photographs …
photographs captured in the wild-SeaTurtleID2022. The dataset contains 8729 photographs …
Citizen-sourced sightings and underwater photography reveal novel insights about green sea turtle distribution and ecology in southern California
ME Hanna, EM Chandler, BX Semmens… - Frontiers in Marine …, 2021 - frontiersin.org
East Pacific (EP) green turtles (Chelonia mydas) have undergone substantial population
recovery over the last two decades owing to holistic protection at nesting beaches and …
recovery over the last two decades owing to holistic protection at nesting beaches and …
Photo identification for sea turtles: Flipper scales more accurate than head scales using APHIS
Photo identification involves classifying unique features of a specific individual. The
distinguishing feature used in most sea turtle photo ID studies are the scale patterns on the …
distinguishing feature used in most sea turtle photo ID studies are the scale patterns on the …
[HTML][HTML] Finding nemo's giant cousin: Keypoint matching for robust re-identification of giant sunfish
M Pedersen, M Nyegaard, TB Moeslund - Journal of Marine Science and …, 2023 - mdpi.com
The Giant Sunfish (Mola alexandrini) has unique patterns on its body, which allow for
individual identification. By continuously gathering and matching images, it is possible to …
individual identification. By continuously gathering and matching images, it is possible to …
Tracking movements and growth of post-hatchling to adult hawksbill sea turtles using skeleto+ iso
In the eastern Pacific Ocean, hawksbill sea turtles (Eretmochelys imbricata) are adapted to
use coastal habitats and ecosystems uncharacteristic of most other sea turtles. Once …
use coastal habitats and ecosystems uncharacteristic of most other sea turtles. Once …