Automated image-based tracking and its application in ecology

Cited by (494)

Items 401–494 of 494

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2. The effect of acute social isolation on neural molecular responses in components of the social decision-making network
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3. Models of Animal Behavior as Active Particle Systems with Nonreciprocal Interactions
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4. Counting Large Flocks of Birds Using Videos Acquired with Hand-Held Devices
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5. Deep Distance Transform to Segment Visually Indistinguishable Merged Objects
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6. Research on Key Feature Extraction and Position Accurate Tracking Based on Computer Vision Image
   Yan Sun · 2019 · Journal of Physics Conference Series
7. High-speed CAMShift Tracking of Insect on GPU
   Ziqiang Xu, Yuman Nie, Pingguo Cao, Quanjun Song · 2018 · IEEE International Conference on Information and Automation (ICIA)
8. Size and shape of tracked Brownian bridges
   Abdulrahman Alsolami, James Burridge, Michał Gnacik · 2020 · Journal of Physics A Mathematical and Theoretical
9. Research on Application of Image Recognition and Tracking Technology Based on Moving Objects
   Lin Lin · 2020 · International Conference on Smart Grid and Electrical Automation (ICSGEA)
10. Using remote camera traps to assess mammal and bird assemblages across a complex environmental landscape
    C. Cloyed, L. Cappelli, David A. Tilson, J. A. Crawford, A. Dell · 2017 · bioRxiv
11. Tracking all members of a honey bee colony over their lifetime
    Franziska Boenisch, Benjamin Rosemann, Benjamin Wild, Fernando Wario, David M Dormagen, Tim Landgraf · 2018 · arXiv (Cornell University)
12. Calibration-free 3D reconstruction of firefly trajectories from 360-degree cameras
    Raphaël Sarfati, Orit Peleg · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
13. Postural analysis reveals persistent vigilance in paper wasps after conspecific challenge
    Andrew Wesley Legan, Caleb C. Vogt, Michael J. Sheehan · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
14. Integrating trait-based movement into mechanistic predictions of thermal performance
    Jördis F. Terlau, Ulrich Brose, Ana Carolina Antunes, Emilio Berti, Thomas Boy, Benoît Gauzens, Samraat S. Pawar, Malin L. Pinsky, Remo Ryser, Myriam R. Hirt · 2022 · Research Square
15. Shortwave infrared (SWIR) fluorescence imaging of peripheral organs in awake and freely moving mice
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16. Evaluating, Implementing, and Applying Methods for Analysing Animal Biotelemetry Data
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17. Nocturnal Homing in the Amblypygid Phrynus Marginemaculatus
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18. Incremental Environmental Monitoring for Revealing the Ecology of Endangered Fish
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19. Dolphins in Space: Quantifying the Relative Positions of Bottlenose Dolphins (Tursiops truncatus)
    Megan S McGrath · 2019 · CUNY Academic Works (City University of New York)
20. Steady-State Analysis of Multi-agent Collective Behavior
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21. Robust tracking and behavioral modeling of movements of biological collectives from ordinary video recordings
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22. Understanding mammals, hands-on
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23. Detecting Unknown Behaviors by Pre-defined Behaviours: An Bayesian Non-parametric Approach
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24. Quantification Analysis of Behavioral Changes after Sciatic Nerve Ligation in Rats
    Panyawut Sri-iesaranusorn, Saeka Shimochi, Naoki Ono, Emrah Yatkin, Hidehiro Iida, Kazushi Ikeda, Junichiro Yoshimoto · 2020
25. Peer Review #1 of "scAnt—an open-source platform for the creation of 3D models of arthropods (and other small objects) (v0.1)"
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26. Peer Review #3 of "scAnt—an open-source platform for the creation of 3D models of arthropods (and other small objects) (v0.1)"
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27. Peer Review #2 of "scAnt—an open-source platform for the creation of 3D models of arthropods (and other small objects) (v0.1)"
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28. Food web stability and connectance predicted from body-size constraints on trophic topology, self-regulation, and total consumption
    Tianyun Lin, Daniel J. Wieczynski, Van M. Savage · 2022 · Research Square
29. Tracking and analysis of movement at different scales
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30. Peer Review #3 of "Measuring inter-individual differences in behavioural types of gilthead seabreams in the laboratory using deep learning (v0.2)"
    2022 · PeerJ
31. Peer Review #2 of "Measuring inter-individual differences in behavioural types of gilthead seabreams in the laboratory using deep learning (v0.1)"
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32. Peer Review #2 of "Measuring inter-individual differences in behavioural types of gilthead seabreams in the laboratory using deep learning (v0.2)"
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33. Peer Review #1 of "Measuring inter-individual differences in behavioural types of gilthead seabreams in the laboratory using deep learning (v0.1)"
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34. Peer Review #3 of "Measuring inter-individual differences in behavioural types of gilthead seabreams in the laboratory using deep learning (v0.1)"
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35. Peer Review #1 of "Measuring inter-individual differences in behavioural types of gilthead seabreams in the laboratory using deep learning (v0.2)"
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40. Toward Real-Time Animal Tracking with Integrated Stimulus Control for Automated Conditioning in Aquatic Eco-Neurotoxicology
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41. Characterizing Pairwise U-Turn Behavior in Fish: A Data-Driven Analysis
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45. Unsupervised multi-animal tracking for quantitative ethology
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46. Using supervised machine learning to quantify cleaning behaviour
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48. AnimalAI: An Open-Source Web Platform for Automated Animal Activity Index Calculation Using Interactive Deep Learning Segmentation
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49. Thermotaxis behavior of Drosophila melanogaster : A quantitative analysis of sensory-motor integration and heat avoidance
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50. A centralised multi‐unit recording system for automated, off‐grid animal observation and environmental monitoring
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51. Long-term and low-concentration inhalation toxicity of toluene in Drosophila melanogaster based on a computer vision method
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53. vassi – verifiable, automated scoring of social interactions in animal groups
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55. An implementation for the video processing of Barnes maze experiments in computational biophysics
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87. Paracetamol Responses Depend on Temperature, Life Stage, and Genetic Background in Drosophila melanogaster Across Generations
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90. Low-latency multicamera 3D tracking of insects with Braid
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91. Artificial intelligence in soil ecotoxicology: A critical review and perspective on micro/nanoplastic exposure to earthworms
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92. Exploratory Comparison of Behavior and Welfare-Related Indicators in Captive Lions (Panthera leo) Across Three Zoo Enclosures Using Machine-Learning Quantification
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93. UAV ‐Based Dolphin Tracking Enables Automated Quantification of Spatial Group Cohesion in Natural and Exposure Settings
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