A review of 28 free animal-tracking software applications: current features and limitations

V Panadeiro, A Rodriguez, J Henry, D Wlodkowic… - Lab animal, 2021 - nature.com
Well-quantified laboratory studies can provide a fundamental understanding of animal
behavior in ecology, ethology and ecotoxicology research. These types of studies require …

The emergence and development of behavioral individuality in clonal fish

KL Laskowski, D Bierbach, JW Jolles, C Doran… - Nature …, 2022 - nature.com
Behavioral individuality is a ubiquitous phenomenon in animal populations, yet the origins
and developmental trajectories of individuality, especially very early in life, are still a black …

[HTML][HTML] Correlated behavioural plasticities: insights from plasticity evolution, the integrated phenotype and behavioural syndromes

KA Sheehy, KL Laskowski - Animal Behaviour, 2023 - Elsevier
Highlights•We provide a conceptual framework to examine correlated behavioural
plasticities.•We summarize conditions likely to give rise to them and highlight testable …

Tracktor: image‐based automated tracking of animal movement and behaviour

VH Sridhar, DG Roche, S Gingins - Methods in Ecology and …, 2019 - Wiley Online Library
Automated movement tracking is essential for high‐throughput quantitative analyses of the
behaviour and kinematics of organisms. Automated tracking also improves replicability by …

3d-zef: A 3d zebrafish tracking benchmark dataset

M Pedersen, JB Haurum… - Proceedings of the …, 2020 - openaccess.thecvf.com
In this work we present a novel publicly available stereo based 3D RGB dataset for multi-
object zebrafish tracking, called 3D-ZeF. Zebrafish is an increasingly popular model …

Animal detection in man-made environments

A Singh, M Pietrasik, G Natha… - Proceedings of the …, 2020 - openaccess.thecvf.com
Automatic detection of animals that have strayed into human inhabited areas has important
security and road safety applications. This paper attempts to solve this problem using deep …

Towards computer vision and deep learning facilitated pollination monitoring for agriculture

MN Ratnayake, AG Dyer… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Globally, pollinators affect 35% of agricultural land and play a key role in food production.
Consequently, monitoring is useful to understand the contribution insects make towards crop …

Using a robotic fish to investigate individual differences in social responsiveness in the guppy

D Bierbach, T Landgraf… - Royal Society …, 2018 - royalsocietypublishing.org
Responding towards the actions of others is one of the most important behavioural traits
whenever animals of the same species interact. Mutual influences among interacting …

Group-level patterns emerge from individual speed as revealed by an extremely social robotic fish

JW Jolles, N Weimar, T Landgraf… - Biology …, 2020 - royalsocietypublishing.org
Understanding the emergence of collective behaviour has long been a key research focus in
the natural sciences. Besides the fundamental role of social interaction rules, a combination …

Social competence improves the performance of biomimetic robots leading live fish

M Maxeiner, M Hocke, HJ Moenck… - Bioinspiration & …, 2023 - iopscience.iop.org
Collective motion is commonly modeled with static interaction rules between agents.
Substantial empirical evidence indicates, however, that animals may adapt their interaction …