Automated image-based tracking and its application in ecology

Cited by (494)

Items 201–300 of 494

1. Supervised machine learning aided behavior classification in pigeons
   Neslihan Wittek, Kevin Wittek, Christopher Keibel, Onur Güntürkün · 2022 · Behavior Research Methods
2. Bring your own camera to the trap: An inexpensive, versatile, and portable triggering system tested on wild hummingbirds
   Alejandro Rico‐Guevara, James Mickley · 2017 · Ecology and Evolution
3. Automated measurement of long-term bower behaviors in Lake Malawi cichlids using depth sensing and action recognition
   Zachary V. Johnson, Lijiang Long, Junyu Li, Manu Tej Sharma Arrojwala, Vineeth Aljapur, Tyrone Lee, Mark C. Lowder, Karen Gu, Tucker J. Lancaster, Joseph Stockert et al. · 2020 · Scientific Reports
4. A method for low‐cost, low‐impact insect tracking using retroreflective tags
   Michael Thomas Smith, Michael Livingstone, Richard Comont · 2021 · Methods in Ecology and Evolution
5. A Novel Method for Tracking Individuals of Fruit Fly Swarms Flying in a Laboratory Flight Arena
   Xi En Cheng, Zhiming Qian, Shuo Hong Wang, Nan Jiang, Aike Guo, Yan Qiu Chen · 2015 · PLoS ONE
6. Behavior Comparison During Chronic Heat Stress in Large White and Creole Pigs Using Image-Analysis
   Mathieu Bonneau, Nausicaa Poullet, David Beramice, Laurent Dantec, Laurianne Canario, Jean-Luc Gourdine · 2021 · Frontiers in Animal Science
7. Information Ecology: an integrative framework for studying animal behavior
   Thore J. Bergman, Jacinta C. Beehner · 2023 · Trends in Ecology & Evolution
8. Lévy Walks Suboptimal under Predation Risk
   Masato Abe, Masakazu Shimada · 2015 · PLoS Computational Biology
9. Incipient Social Groups: An Analysis via In-Vivo Behavioral Tracking
   Jamin Brett Halberstadt, Joshua Conrad Jackson, David K. Bilkey, Jonathan Jong, Harvey Whitehouse, Craig McNaughton, Stefanie Zollmann · 2016 · PLoS ONE
10. Dynamic pathogen detection and social feedback shape collective hygiene in ants
    Barbara Casillas‐Pérez, Katarína Boďová, Anna V. Grasse, Gašper Tkačik, Sylvia Cremer · 2023 · Nature Communications
11. A low‐cost, long‐running, open‐source stereo camera for tracking aquatic species and their behaviours
    Katie Dunkley, andrew dunkley, James Drewnicki, Inti Keith, James E. Herbert‐Read · 2023 · Methods in Ecology and Evolution
12. Object manipulation without hands
    Shoko Sugasawa, Barbara H. Webb, Susan D. Healy · 2021 · Proceedings of the Royal Society B Biological Sciences
13. Trajectory Clustering and k-NN for Robust Privacy Preserving Spatiotemporal Databases
    Elias Dritsas, Μαρία Τρίγκα, Panagiotis Gerolymatos, Spyros Sioutas · 2018 · Algorithms
14. HABIT: Horse Automated Behaviour Identification Tool – A Position Paper
    Steve North, Hall, Carol, Mandy Roshier, Clara Mancini · 2015 · Nottingham ePrints (University of Nottingham)
15. "Corvid Tracking Studio": A custom-built motion capture system to track head movements of corvids.
    Akihiro Itahara, Fumihiro Kano · 2022 · Japanese Journal of Animal Psychology
16. I-MuPPET: Interactive Multi-Pigeon Pose Estimation and Tracking
    Urs Waldmann, Hemal Naik, Máté Nagy, Fumihiro Kano, Iain D. Couzin, Oliver Deußen, Bastian Goldlüecke · 2022 · Lecture notes in computer science
17. Distinguishing seemingly indistinguishable animals with computer vision
    Kristin M. Branson · 2014 · Nature Methods
18. Temporal and genetic variation in female aggression after mating
    Eleanor Bath, Edmund Ryan Biscocho, August Easton‐Calabria, Stuart Wigby · 2020 · PLoS ONE
19. Development of an automatic turntable-type multiple T-maze device and observation of pill bug behavior
    Takaharu Shokaku, Toru Moriyama, Hisashi Murakami, Shuji Shinohara, Nobuhito Manome, Kazuyuki Morioka · 2020 · Review of Scientific Instruments
20. Interactive tracking of insect posture
    Minmin Shen, Chen Li, Wei Huang, Paul Szyszka, Kimiaki Shirahama, Marcin Grzegorzek, Dorit Merhof, Oliver Deußen · 2015 · Pattern Recognition
21. Are 2D space-use analyses adapted to animals living in 3D environments? A case study on a fish shoal
    Aurélien Vivancos, Gerry P. Closs, Cédric Tentelier · 2016 · Behavioral Ecology
22. AUTOMATED MONITORING OF LIVESTOCK BEHAVIOR USING FREQUENCY-MODULATED CONTINUOUS-WAVE RADARS
    Dominique Henry, H. Aubert, Edmond Ricard, Dominique Hazard, Mathieu Lihoreau · 2018 · Progress In Electromagnetics Research M
23. A study of transfer of information in animal collectives using deep learning tools
    Francisco Romero-Ferrero, Francisco J. H. Heras, Dean Rance, Gonzalo G. de Polavieja · 2023 · Philosophical Transactions of the Royal Society B Biological Sciences
24. Recurrence analysis of ant activity patterns
    Felipe Marcel Neves, Ricardo Luiz Viana, Marcio Roberto Pie · 2017 · PLoS ONE
25. Food dissemination in ants: Robustness of the trophallactic network against resource quality
    Olivier Bles, Jean‐Louis Deneubourg, Stamatios C. Nicolis · 2018 · Journal of Experimental Biology
26. Key Points Tracking and Grooming Behavior Recognition of Bactrocera minax (Diptera: Trypetidae) via DeepLabCut
    Wei Zhan, Yafeng Zou, Zhangzhang He, Zhiliang Zhang · 2021 · Mathematical Problems in Engineering
27. Social information use and collective foraging in a pursuit diving seabird
    Julian Evans, Colin J. Torney, Stephen C. Votier, Sasha R. X. Dall · 2019 · PLoS ONE
28. Leveraging big data to uncover the eco-evolutionary factors shaping behavioural development
    Sean M. Ehlman, Ulrike Scherer, David Bierbach, Fritz A. Francisco, Kate L. Laskowski, Jens Krause, Max Wolf · 2023 · Proceedings of the Royal Society B Biological Sciences
29. Predicting movement speed of beetles from body size and temperature
    Jördis F. Terlau, Ulrich Brose, Thomas Boy, Samraat S. Pawar, Malin L. Pinsky, Myriam R. Hirt · 2023 · Movement Ecology
30. Multi-Object Tracking in Heterogeneous environments (MOTHe) for animal video recordings
    Akanksha Rathore, Ananth Sharma, Shaan Shah, Nitika Sharma, Colin J. Torney, Vishwesha Guttal · 2023 · PeerJ
31. Predicting the long-term collective behaviour of fish pairs with deep learning
    Vaios Papaspyros, Ramón Escobedo, Alexandre Alahi, Guy Théraulaz, Clément Sire, Francesco Mondada C · 2024 · Journal of The Royal Society Interface
32. Low-input PacBio sequencing generates high-quality individual fly genomes and characterizes mutational processes
    Hangxing Jia, Shengjun Tan, Yingao Cai, Yanyan Guo, Jieyu Shen, Yaqiong Zhang, Huijing Ma, Qingzhu Zhang, Jinfeng Chen, Gexia Qiao et al. · 2024 · Nature Communications
33. Using automated video analysis to study fish escapement through escape panels in active fishing gears: Application to the effect of net colour
    Julien Simon, Dorothée Kopp, Pascal Larnaud, J.P. Vacherot, Fabien Morandeau, Gaël Lavialle, Marie Morfin · 2020 · Marine Policy
34. Turbulence, instream wood and fish: Ecohydraulic interactions under field conditions
    Giuditta Trinci, Gemma L. Harvey, Alexander James Henshaw, Walter Bertoldi, Franz Hölker · 2020 · Ecohydrology
35. Pandemics and the Need for Automated Systems for Biodiversity Monitoring
    Larissa Sayuri Moreira Sugai · 2020 · Journal of Wildlife Management
36. Beyond Single Discrete Responses: An Integrative and Multidimensional Analysis of Behavioral Dynamics Assisted by Machine Learning
    Alejandro León, Varsovia Hernández, Juan Lopez, Isiris Guzmán, Victor Quintero, Porfirio Toledo, Martha Lorena Avendaño‐Garrido, Carlos Alberto Hernández-Linares, Esteban Escamilla · 2021 · Frontiers in Behavioral Neuroscience
37. Quantitatively scoring behavior from video-recorded, long-lasting fish trajectories
    Pere Martí-Puig, Moisès Serra-Serra, Andrea Campos‐Candela, Ramón Reig-Bolaño, Amalia Manjabacas, Miquel Palmer · 2018 · Environmental Modelling & Software
38. STEFTR: A Hybrid Versatile Method for State Estimation and Feature Extraction From the Trajectory of Animal Behavior
    Shuhei J. Yamazaki, Kazuya Ohara, Kentaro Ito, Nobuo Kokubun, Takuma Kitanishi, Daisuke Takaichi, Yasufumi Yamada, Yosuke Ikejiri, Fumie Hiramatsu, Kosuke Fujita et al. · 2019 · Frontiers in Neuroscience
39. Kinematics and behaviour in fish escape responses: guidelines for conducting, analysing and reporting experiments
    Dominique G. Roche, Eric D. Tytell, Paolo Domenici · 2023 · Journal of Experimental Biology
40. Behavioral Coding of Captive African Elephants (Loxodonta africana): Utilizing DeepLabCut and Create ML for Nocturnal Activity Tracking
    Silje Marquardsen Lund, Jonas Nielsen, Frej Gammelgård, Maria Gytkjær Nielsen, Trine Hammer Jensen, Cino Pertoldi · 2024 · Animals
41. Framing Sustainability of Coupled Human and Natural Systems
    Jianguo Liu, Vanessa Hull, Neil Carter, Andrés Viña, Wu Yang · 2016 · Oxford University Press eBooks
42. Experience shapes social information use in foraging fish
    Mike Webster, Kevin N. Laland · 2018 · Animal Behaviour
43. A spatiotemporal analysis of the food dissemination process and the trophallactic network in the ant Lasius niger
    Joffrey Planckaert, Stamatios C. Nicolis, Jean‐Louis Deneubourg, Cédric Sueur, Olivier Bles · 2019 · Scientific Reports
44. Exploiting animal personality to reduce chronic stress in captive fish populations
    Pamela M. Prentice, Thomas M. Houslay, Alastair James Wilson · 2022 · Frontiers in Veterinary Science
45. A wireless, remotely operable and easily customizable robotic flower system
    Kamiel Debeuckelaere, Dirk Janssens, Estefanía Serral, Tom Wenseleers, Hans Jacquemyn, María I. Pozo · 2024 · Methods in Ecology and Evolution
46. A Layered, Hybrid Machine Learning Analytic Workflow for Mouse Risk Assessment Behavior
    Jinxin Wang, Paniz Karbasi, Liqiang Wang, Julian P. Meeks · 2022 · eNeuro
47. ThruTracker: Open-Source Software for 2-D and 3-D Animal Video Tracking
    Aaron J. Corcoran, Michael R. Schirmacher, Eric D. Black, Tyson L. Hedrick · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
48. Shortwave infrared fluorescence imaging of peripheral organs in awake and freely moving mice
    Bernardo Assein Arús, Emily D. Cosco, Joycelyn Yiu, Ilaria Balba, Thomas S. Bischof, Ellen M. Sletten, Oliver T. Bruns† · 2023 · Frontiers in Neuroscience
49. Monitoring vegetation patterns and their drivers to infer resilience: Automated detection of vegetation and megaherbivores from drone imagery using deep learning
    Rebecca K. James, F.M.J. Daniels, Aneesh Chauhan, Pramaditya Wicaksono, Muhammad Hafizt, Setiawan Djody Harahap, Marjolijn J. A. Christianen · 2024 · Ecological Informatics
50. Quantification of planarian behaviors
    Takeshi Inoue, Kiyokazu Agata · 2021 · Development Growth & Differentiation
51. Automated Behavior Analysis Using a YOLO-Based Object Detection System
    Kai Amino, Takashi Matsuo · 2022 · Neuromethods
52. Interactive rodent behavior annotation in video using active learning
    Malte Lorbach, Ronald W. Poppe, Remco C. Veltkamp · 2019 · Multimedia Tools and Applications
53. In situ three‐dimensional video tracking of tagged individuals within site‐attached social groups of coral‐reef fish
    Anael Engel, Yaela Reuben, Irina Kolesnikov, Dmitri Churilov, Ran Nathan, Amatzia Genin · 2021 · Limnology and Oceanography Methods
54. On the importance of defendable resources for social evolution: Applying new techniques to a long‐standing question
    Arne Jungwirth, Paul Nührenberg, Alex L. Jordan · 2021 · Ethology
55. Honeybee Detection and Pose Estimation using Convolutional Neural Networks
    Iván Rodríguez, Kristin M. Branson, Edgar Acuña, José L. Agosto, Tuğrul Giray, Rémi Mégret · 2018
56. DAMM for the detection and tracking of multiple animals within complex social and environmental settings
    Gaurav Kaul, Jonathan McDevitt, Justin Johnson, Ada Eban-Rothschild · 2024 · Scientific Reports
57. Measuring inter-individual differences in behavioural types of gilthead seabreams in the laboratory using deep learning
    Marco Signaroli, Arancha Lana, Martina Martorell‐Barceló, Javier Sanllehi, Margarida Barcelo‐Serra, Eneko Aspillaga, Júlia Mulet, Josep Alós · 2022 · PeerJ
58. A latest progress in the study of fish behavior: cross-generational effects of behavior under pollution pressure and new technologies for behavior monitoring
    Jian-Xue Feng, Ping Li, Yuan Liu, Ling Liu, Zhihua Li · 2024 · Environmental Science and Pollution Research
59. BichiCAM, an Underwater Automated Video Tracking System for the Study of Migratory Dynamics of Benthic Diadromous Species in Streams
    Germain Boussarie, Nils Teichert, Raphaël Lagarde, Dominique Ponton · 2015 · River Research and Applications
60. Image Filtering and Labelling Assistant (IFLA): Expediting the analysis of data obtained from camera traps
    Tianyu Xi, Jiangning Wang, Huijie Qiao, Congtian Lin, Liqiang Ji · 2021 · Ecological Informatics
61. BOVIDS: A deep learning‐based software package for pose estimation to evaluate nightly behavior and its application to common elands (Tragelaphus oryx) in zoos
    Jennifer Gübert, Max Hahn‐Klimroth, Paul Wilhelm Dierkes · 2022 · Ecology and Evolution
62. Color in motion: Generating 3-dimensional multispectral models to study dynamic visual signals in animals
    Audrey Miller, Benedict G. Hogan, Mary Caswell Stoddard · 2022 · Frontiers in Ecology and Evolution
63. phenopype: a phenotyping pipeline for Python
    Moritz Lürig · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
64. Statistical properties of large data sets with linear latent features
    Philipp Fleig, Ilya M. Nemenman · 2022 · Physical review. E
65. Activity and Flight Trajectory Monitoring of Mosquito Colonies for Automated Behaviour Analysis
    Burhan Khan, Julie Gaburro, Samer Hanoun, Jean‐Bernard Duchemin, Saeid Nahavandi, Asim Bhatti · 2015 · Lecture notes in computer science
66. Collective behavior quantification on human odor effects against female Aedes aegypti mosquitoes—Open source development
    Abdul Halim Poh, Mahmoud Moghavvemi, Cherng Shii Leong, Yee Ling Lau, Alireza Safdari, Alexlee Apau, Faisal Rafiq Mahamd Adikan · 2017 · PLoS ONE
67. Use of 3-Dimensional Videography as a Non-Lethal Way to Improve Visual Insect Sampling
    Michael F. Curran, Kyle Summerfield, Emma-Jane Alexander, Shawn G. Lanning, Anna Schwyter, Melanie L. Torres, Scott P. Schell, Karen L. Vaughan, Timothy J. Robinson, Douglas I. Smith · 2020 · Land
68. Experimental identification of individual insect visual tracking delays in free flight and their effects on visual swarm patterns
    Md. Saiful Islam, Imraan Faruque · 2022 · PLoS ONE
69. Skeleton-Based 3D Tracking of Multiple Fish From Two Orthogonal Views
    Zhiming Qian, Meiling Shi, Meijiao Wang, Tianrui Cun · 2017 · Communications in computer and information science
70. Impact of Skin Microbiome on Attractiveness to Arthropod Vectors and Pathogen Transmission
    Niels O. Verhulst, Nathalie Boulanger, Jeroen Spitzen · 2018 · Elsevier eBooks
71. Gait-level analysis of mouse open field behavior using deep learning-based pose estimation
    Keith Sheppard, Justin Gardin, Gautam S. Sabnis, Asaf Peer, Megan Darrell, Sean Deats, Brian Q. Geuther, Cathleen M. Lutz, Vivek Kumar · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
72. Active interactions between animals and technology: biohybrid approaches for animal behaviour research
    Marina Papadopoulou, M. Ball, Palina Bartashevich, Alicia Burns, Violette Chiara, Molly A. Clark, Blair R. Costelloe, Marco Fele, Fiona French, Sabine Hauert et al. · 2025 · Animal Behaviour
73. Research Techniques Used in the Study of Social Wasps
    Robert L. Jeanne, Benjamin J. Taylor · 2020 · Springer eBooks
74. Advances in non-invasive tracking of wave-type electric fish in natural and laboratory settings
    Till Raab, Manu Sasidharan Madhav, Ravikrishnan P. Jayakumar, Jörg Henninger, Noah John Cowan, Jan Benda · 2022 · Frontiers in Integrative Neuroscience
75. Trajectory-based fish event classification through pre-training with diffusion models
    Noemi Canovi, Benjamin Alexander Ellis, Tonje Knutsen Sørdalen, Vaneeda Allken, Kim Tallaksen Halvorsen, Ketil Malde, Cigdem Beyan · 2024 · Ecological Informatics
76. Identifying individual polar bears at safe distances: A test with captive animals
    Jouke Prop, Arnstein Staverløkk, Børge Moe · 2020 · PLoS ONE
77. Digital video recorder for Raspberry PI cameras with multi-camera synchronous acquisition
    Ghadi H. Salem, Jonathan Krynitsky, Noah Cubert, Alex Pu, Simeon Anfinrud, Jonathan Pedersen, Joshua Lehman, Ajith Kanuri, Thomas J. Pohida · 2020 · HardwareX
78. A Non-Invasive Millimetre-Wave Radar Sensor for Automated Behavioural Tracking in Precision Farming—Application to Sheep Husbandry
    Alexandre Dore, Cristian Pasquaretta, Dominique Henry, Edmond Ricard, Jean-François Bompa, Mathieu Bonneau, Alain Boissy, Dominique Hazard, Mathieu Lihoreau, H. Aubert · 2021 · Sensors
79. Developing and Integrating Advanced Movement Features Improves Automated Classification of Ciliate Species
    Ali Soleymani, Frank Pennekamp, Owen L. Petchey, Robert Weibel · 2015 · PLoS ONE
80. GRAPHITE: A graphical environment for scalable in situ video tracking of moving insects
    Blair J. Rossetti, Travis L. Dynes, Berry J. Brosi, Jacobus C. de Roode, Jun Kong · 2017 · Methods in Ecology and Evolution
81. Automatically detecting and tracking free‐ranging Japanese macaques in video recordings with deep learning and particle filters
    Masataka Ueno, Hidetaka Hayashi, Ryosuke Kabata, Kazunori Terada, Kazunori Yamada · 2019 · Ethology
82. D-Track—A semi-automatic 3D video-tracking technique to analyse movements and routines of aquatic animals with application to captive dolphins
    Patrícia Rachinas-Lopes, Ricardo Ribeiro, Manuel E. dos Santos, Rui M. Costa · 2018 · PLoS ONE
83. Robust Mouse Tracking in Complex Environments using Neural Networks
    Brian Q. Geuther, Sean Deats, Kai J Fox, Stephen A. Murray, Robert E. Braun, Jacqueline K. White, Elissa J. Chesler, Cathleen M. Lutz, Vivek Kumar · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
84. In situ soil imaging, a tool for monitoring the hourly to monthly temporal dynamics of soil biota
    Emma Belaud, Christophe Jourdan, Dominique Barry‐Etienne, Claire Marsden, Agnès Robin, Elisa Taschen, Mickaël Hedde · 2024 · Biology and Fertility of Soils
85. swaRmverse: An R package for the comparative analysis of collective motion
    Marina Papadopoulou, Simon Garnier, Andrew J. King · 2024 · Methods in Ecology and Evolution
86. Population and Community Body Size Structure Across a Complex Environmental Gradient
    Anthony I. Dell, Lei Zhao, Ulrich Brose, Richard G. Pearson, Ross A. Alford · 2015 · Advances in ecological research/Advances in Ecological Research
87. Spatiotemporal dynamics of animal contests arise from effective forces between contestants
    Amir Haluts, Sylvia F. Garza Reyes, Dan Gorbonos, Robert Ian Etheredge, Alex L. Jordan, Nir S. Gov · 2021 · Proceedings of the National Academy of Sciences
88. RETRACTED ARTICLE: Infrared pedestrian detection algorithm based on multimedia image recombination and matrix restoration
    Min Ma · 2019 · Multimedia Tools and Applications · Retracted
89. Drone Applications in Wildlife Research—A Synoptic Review
    Subhendu Mazumdar · 2022 · Springer eBooks
90. When complex movement yields simple dispersal: behavioural heterogeneity, spatial spread and parasitism in groups of micro-wasps
    Victor Burte, Mélina Cointe, Guy Pérez, Ludovic Mailleret, Vincent Calcagno · 2023 · Movement Ecology
91. Analysis of Feeding Behavior Characteristics in the Cu/Zn Superoxide Dismutase 1 (SOD1) SOD1G93A Mice Model for Amyotrophic Lateral Sclerosis (ALS)
    Yoshihiro Kitaoka, Soju Seki, Sou Kawata, Akira Nishiura, Kohei Kawamura, Shin-ichiro Hiraoka, Mikihiko Kogo, Susumu Tanaka · 2023 · Nutrients
92. Modelling animal contests based on spatio-temporal dynamics
    Amir Haluts, Alex L. Jordan, Nir S. Gov · 2023 · Journal of The Royal Society Interface
93. Using Camera Traps to Assess Mammal and Bird Assemblages in a Midwestern Forest
    C. Cloyed, L. Cappelli, David A. Tilson, J. A. Crawford, A. Dell · 2018 · Journal of Fish and Wildlife Management
94. Comparison of Deep Learning and Image Processing for Tracking the Cognitive Motion of a Laboratory Mouse
    Seohyun Lee, Tomohiko Hayakawa, Chika Nishimura, Satoshi Yawata, Hiroki Yagi, Dai Watanabe, Masatoshi Ishikawa · 2019 · IEEE Biomedical Circuits and Systems Conference (BioCAS)
95. An image processing method for recognition of four aquatic macroinvertebrates genera in freshwater environments in the Andean region of Colombia
    Juan Pablo Serna, David Stephen Fernández Mc Cann, Fabio de Jesús Vélez Macías, Néstor Jaime Aguirre Ramírez · 2020 · Environmental Monitoring and Assessment
96. A simple tool for linking photo-identification with multimedia data to track mammal behaviour
    Alexandre M. S. Machado, Maurício Cantor · 2021 · Mammalian Biology
97. Behavioral Response of Juvenile Chinook Salmon to Surgical Implantation of Micro‐acoustic Transmitters
    Gabriel P. Singer, Matthew J. Hansen, Kristina V. Ho, Katie W. Lee, Dennis E. Cocherell, Abbott Peter Klimley, Andrew L. Rypel, Nann A. Fangue · 2019 · Transactions of the American Fisheries Society
98. Closing the loop: tracking and perturbing behaviour of individuals in a group in real-time
    Malte J. Rasch, Aobo Shi, Zilong Ji · 2016 · bioRxiv (Cold Spring Harbor Laboratory)
99. Correction: D-Track—A semi-automatic 3D video-tracking technique to analyse movements and routines of aquatic animals with application to captive dolphins
    Patrícia Rachinas-Lopes, Ricardo Ribeiro, Manuel E. dos Santos, Rui M. Costa · 2019 · PLoS ONE
100. Method for Preprocessing Video Data for Training Deep-Learning Models for Identifying Behavioral Events in Bio-Objects
     Marina Aleksandrovna Barulina, Alexander Andreev, Ilya I. Kovalenko, Ilya Barmin, Eduard Titov, Danil Kirillov · 2024 · Mathematics