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Automated video analysis is critical for wildlife conservation.
Spatially explicit models for inference about density in unmarked or partially marked populatioins
Richard B Chandler and J Andrew Royle · 2013
Earlier work this paper cites.
Animal biometrics: quantifying and detecting phenotypic appearance
Hjalmar S Kühl and Tilo Burghardt · 2013
Earlier work this paper cites.
Wildlife camera trapping: a review and recommendations for linking surveys to ecological processes
A Cole Burton, Eric Neilson, Dario Moreira, Andrew Ladle, Robin Steenweg, Jason T Fisher, Erin Bayne, and Stan Boutin · 2015
Earlier work this paper cites.
Accelerated modern human–induced species losses: Entering the sixth mass extinction
Gerardo Ceballos, Paul R Ehrlich, Anthony D Barnosky, Andrés García, Robert M Pringle, and Todd M Palmer · 2015
Earlier work this paper cites.
Hollywood in homes: Crowdsourcing data collection for activity understanding
Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ivan Laptev, Ali Farhadi, and Abhinav Gupta · 2016
Earlier work this paper cites.
Ava: A video dataset of spatio-temporally localized atomic visual actions
Chunhui Gu, Chen Sun, Sudheendra Vijayanarasimhan, Caroline Pantofaru, David A. Ross, George Toderici, Yeqing Li, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, and Jitendra Malik · 2017
Earlier work this paper cites.
Recognition in terra incognita
Sara Beery, Grant Van Horn, and Pietro Perona · 2018
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Count, crop and recognise: Fine-grained recognition in the wild
Max Bain, Arsha Nagrani, Daniel Schofield, and Andrew Zisserman · 2019
Earlier work this paper cites.
Efficient pipeline for camera trap image review
Sara Beery, Dan Morris, and Siyu Yang · 2019
Earlier work this paper cites.
Generalized spatial mark–resight models with incomplete identification: An application to red fox density estimates
Jose Jimenez, Richard Chandler, Jorge Tobajas, Esther Descalzo, Rafael Mateo, and Pablo Ferreras · 2019
Earlier work this paper cites.
Hacs: Human action clips and segments dataset for recognition and temporal localization
Hang Zhao, Antonio Torralba, Lorenzo Torresani, and Zhicheng Yan · 2019
Earlier work this paper cites.
Tao: A large-scale benchmark for tracking any object
Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, and Deva Ramanan · 2020
Earlier work this paper cites.
Hota: A higher order metric for evaluating multi-object tracking
Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip Torr, Andreas Geiger, Laura Leal-Taixé, and Bastian Leibe · 2020
Earlier work this paper cites.
3d-zef: A 3d zebrafish tracking benchmark dataset
Malte Pedersen, Joakim Bruslund Haurum, Stefan Hein Bengtson, and Thomas B Moeslund · 2020
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Visual recognition of great ape behaviours in the wild, 2020
Faizaan Sakib and Tilo Burghardt · 2020
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Gmot-40: A benchmark for generic multiple object tracking
Hexin Bai, Wensheng Cheng, Peng Chu, Juehuan Liu, Kai Zhang, and Haibin Ling · 2021
Earlier work this paper cites.
Abundance estimation of unmarked animals based on camera-trap data
Neil A Gilbert, John DJ Clare, Jennifer L Stenglein, and Benjamin Zuckerberg · 2021
Earlier work this paper cites.
Wilds: A benchmark of in-the-wild distribution shifts
Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, et al · 2021
Earlier work this paper cites.
Tracking every thing in the wild
Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E. Huang, and Fisher Yu · 2022
Cited alongside, same era.
Big-data approaches lead to an increased understanding of the ecology of animal movement
Ran Nathan, Christopher T Monk, Robert Arlinghaus, Timo Adam, Josep Alós, Michael Assaf, Henrik Baktoft, Christine E Beardsworth, Michael G Bertram, Allert I Bijleveld, et al · 2022
Cited alongside, same era.
Animal kingdom: A large and diverse dataset for animal behavior understanding
Xun Long Ng, Kian Eng Ong, Qichen Zheng, Yun Ni, Si Yong Yeo, and Jun Liu · 2022
Cited alongside, same era.
Perspectives in machine learning for wildlife conservation
Devis Tuia, Benjamin Kellenberger, Sara Beery, Blair R Costelloe, Silvia Zuffi, Benjamin Risse, Alexander Mathis, Mackenzie W Mathis, Frank Van Langevelde, Tilo Burghardt, et al · 2022
Cited alongside, same era.
Apt-36k: A large-scale benchmark for animal pose estimation and tracking
Yuxiang Yang, Junjie Yang, Yufei Xu, Jing Zhang, Long Lan, and Dacheng Tao · 2022
Cited alongside, same era.
SAM 2: Segment anything in images and videos
Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloe Rolland, Laura Gustafson, et al · 2024
Later among the works it cites.
Action detection for wildlife monitoring with camera traps based on segmentation with filtering of tracklets (swift) and mask-guided action recognition (maroon)
Frank Schindler, Volker Steinhage, Suzanne van Beeck Calkoen, and Marco Heurich · 2024
Later among the works it cites.
Boosttrack++: using tracklet information to detect more objects in multiple object tracking
Vukašin Stanojević and Branimir Todorović · 2024
Later among the works it cites.
Bioclip: A vision foundation model for the tree of life
Samuel Stevens, Jiaman Wu, Matthew J Thompson, Elizabeth G Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M Dahdul, Charles Stewart, Tanya Berger-Wolf, et al · 2024
Later among the works it cites.
3d-muppet: 3d multi-pigeon pose estimation and tracking
Urs Waldmann, Alex Hoi Hang Chan, Hemal Naik, Máté Nagy, Iain D Couzin, Oliver Deussen, Bastian Goldluecke, and Fumihiro Kano · 2024
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Bytetrack: Multi-object tracking by associating every detection box
Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng, Zehuan Yuan, Ping Luo, Wenyu Liu, and Xinggang Wang · 2022
Cited alongside, same era.
Burst: A benchmark for unifying object recognition, segmentation and tracking in video
Ali Athar, Jonathon Luiten, Paul Voigtlaender, Tarasha Khurana, Achal Dave, Bastian Leibe, and Deva Ramanan · 2023
Cited alongside, same era.
Triple-stream deep metric learning of great ape behavioural actions
Otto Brookes, Majid Mirmehdi, Hjalmar S. Kühl, and Tilo Burghardt · 2023
Cited alongside, same era.
Observation-centric sort: Rethinking sort for robust multi-object tracking
Jinkun Cao, Jiangmiao Pang, Xinshuo Weng, Rawal Khirodkar, and Kris Kitani · 2023
Cited alongside, same era.
Mammalnet: A large-scale video benchmark for mammal recognition and behavior understanding
Jun Chen, Ming Hu, Darren J Coker, Michael L Berumen, Blair Costelloe, Sara Beery, Anna Rohrbach, and Mohamed Elhoseiny · 2023
Cited alongside, same era.
Lote-animal: A long time-span dataset for endangered animal behavior understanding
Dan Liu, Jin Hou, Shaoli Huang, Jing Liu, Yuxin He, Bochuan Zheng, Jifeng Ning, and Jingdong Zhang · 2023
Cited alongside, same era.
Chimpact: A longitudinal dataset for understanding chimpanzee behaviors
Xiaoxuan Ma, Stephan Kaufhold, Jiajun Su, Wentao Zhu, Jack Terwilliger, Andres Meza, Yixin Zhu, Federico Rossano, and Yizhou Wang · 2023
Cited alongside, same era.
Later among the works it cites.
General object foundation model for images and videos at scale
Junfeng Wu, Yi Jiang, Qihao Liu, Zehuan Yuan, Xiang Bai, and Song Bai · 2024
Later among the works it cites.
Varen: Very accurate and realistic equine network
Silvia Zuffi, Ylva Mellbin, Ci Li, Markus Hoeschle, Hedvig Kjellström, Senya Polikovsky, Elin Hernlund, and Michael J Black · 2024
Later among the works it cites.
Daniele Baieri, Riccardo Cicciarella, Michael Krützen, Emanuele Rodolà, and Silvia Zuffi · 2025
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The panaf-fgbg dataset: Understanding the impact of backgrounds in wildlife behaviour recognition
Otto Brookes, Maksim Kukushkin, Majid Mirmehdi, Colleen Stephens, Paula Dieguez, Thurston C Hicks, Sorrel Jones, Kevin Lee, Maureen S McCarthy, Amelia Meier, et al · 2025
Closest in time.
Wildlive: Near real-time visual wildlife tracking onboard UAVs
Nguyen Ngoc Dat, Thomas Stuart Richardson, Matthew Watson, Kilian Meier, Jenna Marie Kline, Sid Reid, Guy Maalouf, Duncan Hine, Majid Mirmehdi, and Tilo Burghardt · 2025
Closest in time.
Baboonland dataset: Tracking primates in the wild and automating behaviour recognition from drone videos: I. duporge et al
Isla Duporge, Maksim Kholiavchenko, Roi Harel, Scott Wolf, Daniel I Rubenstein, Margaret C Crofoot, Tanya Berger-Wolf, Stephen J Lee, Julie Barreau, Jenna Kline, et al · 2025
Closest in time.
Llmdet: Learning strong open-vocabulary object detectors under the supervision of large language models
Shenghao Fu, Qize Yang, Qijie Mo, Junkai Yan, Xihan Wei, Jingke Meng, Xiaohua Xie, and Wei-Shi Zheng · 2025
Closest in time.
Mammalps: A multi-view video behavior monitoring dataset of wild mammals in the swiss alps
Valentin Gabeff, Haozhe Qi, Brendan Flaherty, Gencer Sumbul, Alexander Mathis, and Devis Tuia · 2025
Closest in time.
Harnessing artificial intelligence to fill global shortfalls in biodiversity knowledge
Laura J Pollock, Justin Kitzes, Sara Beery, Kaitlyn M Gaynor, Marta A Jarzyna, Oisin Mac Aodha, Bernd Meyer, David Rolnick, Graham W Taylor, Devis Tuia, et al · 2025
Closest in time.
Universal bovine identification via depth data and deep metric learning
Asheesh Sharma, Lucy Randewich, William Andrew, Sion Hannuna, Neill Campbell, Siobhan Mullan, Andrew W Dowsey, Melvyn Smith, Mark Hansen, and Tilo Burghardt · 2025
Closest in time.
Pairwise matching of intermediate representations for fine-grained explainability
Lauren Shrack, Timm Haucke, Antoine Salaün, Arjun Subramonian, and Sara Beery · 2025
Closest in time.
Computer vision for primate behavior analysis in the wild
Richard Vogg, Timo Lüddecke, Jonathan Henrich, Sharmita Dey, Matthias Nuske, Valentin Hassler, Derek Murphy, Julia Fischer, Julia Ostner, Oliver Schülke, et al · 2025
Closest in time.