Wildlife Monitoring

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Overview

Wildlife monitoring uses camera traps, drones, acoustic recorders, underwater sensors, and animal movement data to observe species and ecosystems with less manual effort. Common approaches include computer vision for detection, counting, tracking, and individual re-identification, alongside machine learning for call detection and multimodal analysis. Researchers also develop edge systems, active-learning workflows, and ecological benchmarks to make monitoring practical in remote settings and useful for scientific inference. Major challenges include scarce labels for rare species, performance shifts across sites and seasons, and balancing useful observations with animal disturbance.

Latest papers

CardsList

65 papers12 papers in the last four weeks, up 33% on the four weeks before. 0.1% of all new papers.

  1. OpenStripe supports open-set identification and spatial stripe profiling in wild Amur tigers

    Oct 23, 2026Yichun Peng, Yansong Li, Jin Hou +9Animal Re-IdentificationOpen-Set Recognition

    School of Statistics, Beijing Normal University, Beijing, China · Ministry of Education Key Laboratory for Biodiversity Science and Ecology Engineering, College of Life Sciences, Beijing Normal University, Beijing, China · National Forestry and Grassland Administration Key Laboratory for Conservation Ecology of Northeast Tiger and Leopard, Beijing, China +2

  2. Standing on Open Shoulders: Regional Fine-Tuning of Open-Weight Camera-Trap Models for UK Wildlife with Modest Data and Compute

    Oct 23, 2026Paul FergusImage ClassificationWildlife Monitoring

    Liverpool John Moores University, Byrom Street, Liverpool L3 3AF, United Kingdom

  3. WildDepth-v2: A Synchronized RGB--LiDAR--Radar Dataset and Benchmark for Metric Depth, Motion, and Tracking of Wildlife

    Oct 22, 2026Muhammad Aamir, Sangyun Shin, Naoya Muramatsu +4Metric Depth EstimationWildlife Monitoring

    Department of Computer Science, University of Oxford, Oxford, UK · University of Cape Town, Cape Town, South Africa · Wildlife Conservation Research Unit, Department of Biology, University of Oxford, UK +1

  4. ATLAS: Expert-Guided Sustainable Satellite Backhaul for Off-Grid Wildlife Monitoring

    Oct 17, 2026Hao Fang, Miao Zhang, Haoyuan Zhao +5Wildlife Monitoring

    Simon Fraser University AXSOTA Intelligence Inc. Burnaby, BC, Canada · Simon Fraser University Burnaby, BC, Canada

  5. CFC26: Building Evaluations for Deployment in Sonar-Based Fish Counting

    Oct 15, 2026Madison Van Horn, Suzanne Stathatos, Sevan Brodjian +6Object CountingWildlife Monitoring

    California Institute of Technology · Massachusetts Institute of Technology · California Institute of Technology Volunteer

  6. A unified three-branch deep learning framework for automated detection and counting of wildlife in aerial imagery

    Oct 12, 2026Zeyu Xu, Tiejun Wang, Andrew Skidmore +5Image MatchingWildlife Monitoring

    School of Geospatial Engineering and Science, Sun Yat-Sen University, Zhuhai, China · Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, The Netherlands · Boma and Badingilo National Parks, African Parks, Juba, South Sudan +3

  7. Towards benchmarking Western Bluebird detection in the wild

    Oct 6, 2026Estela Monserrat Arriaga Santana, Julian Rosas Scull, Ibeth P. Alarcón +3Open-Vocabulary Object DetectionInstance Segmentation

    Universidad Nacional Aut´onoma de M´exico, Mexico · Universidad Aut´onoma de Tlaxcala, Mexico · The University of Texas at El Paso, USA and INAOE, Mexico

  8. BossouChimpanzee: Long-term Chimpanzee Video Dataset

    Oct 4, 2026Daniel Schofield, Susana Carvalho, Vladimir Iashin +10Animal Re-IdentificationAnimal Behavior Analysis

    Visual Geometry Group, Department of Engineering Science, University of Oxford, UK · University of Oxford, UK · CIBIO–BIOPOLIS, University of Porto, Vairão, Portugal +6

  9. BeeWhere: Segmenting Bumble Bee Colonies to Quantify Behavioral Effects

    Oct 2, 2026Roberta Hunt, August Easton-Calabria, James CrallAnimal Behavior AnalysisWildlife Monitoring

    University of Copenhagen, 2100 Copenhagen, Denmark · Lund University, 223 62 Lund, Sweden · University of Wisconsin-Madison, Madison, WI 53706, USA

  10. CamAgent: An LLM-Agent Framework for Multi-Species Camera-Trap Workflows

    Sep 30, 2026Yutong Deng, Qi Song, Xi Guo +3LLM Agent OrchestrationScientific Workflow Automation

    Faculty of Arts and Sciences, Beijing Normal University, Zhuhai, China. · College of Life Sciences, Beijing Normal University, Beijing, China. · National Forestry and Grassland Administration Key Laboratory for Conservation Ecology of Northeast Tiger and Leopard, Beijing, China. +1

  11. Automated Species Identification in Camera Trap Images for Wildlife Conservation

    Sep 28, 2026Nowshin Amin, Nafisa Tabassum Oyshi, Tahmid Abrar Zidan +2Small Object DetectionObject Detection

    Department of Computer Science and Engineering Brac University

  12. Advancing Wildlife Conservation through Multimodal Animal Re-Identification with Environmental Metadata

    Sep 28, 2026Yuzhuo Li, Di Zhao, Tingrui Qiao +3Animal Re-IdentificationWildlife Monitoring

    School of Computer Science, University of Auckland Auckland, New Zealand

  13. Synthetic Thermal Image Generation for Real-Time Animal Detection Under Low-Visibility Conditions

    Sep 26, 2026James Momoh, Khandaker Mamun AhmedInfrared Object DetectionThermal Imaging

    The Beacom College of Computer and Cyber Sciences, Dakota State University

  14. Active Learning for Biodiversity Monitoring: From Label Efficiency to Reliable Ecological Inference

    Sep 23, 2026Ben McEwen, Shiqi Zhang, Dan StowellActive LearningBiodiversity Monitoring

    Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, Amsterdam, the Netherlands · Faculty of Information Technology and Communication Sciences, Tampere University, Finland · Leiden Institute of Advanced Computer Science, Leiden University, The Netherlands +1

  15. Targeted Review for AI-Assisted Biodiversity Surveys: Active Continuous-Score Occupancy Modeling

    Sep 22, 2026Timm Haucke, Lauren Harrell, Justin Kay +2Active LearningBiodiversity Monitoring

    MIT · Google Research · The Institute for Bird Populations

  16. Characterizing Wildlife Response to Biomimetic and Conventional Underwater Vehicles

    Sep 18, 2026Huy Pham, Levi Cai, Yogesh Girdhar +2Underwater RoboticsRobotics

  17. Det-LIME: Detector-Aware, Multi-Instance Local Interpretable Model-Agnostic Explanations for Automated Marine Mammal Detection

    Sep 15, 2026Jiayi Zhou, David W. Johnston, Brinnae BentExplainable Artificial IntelligenceExplainable Object Detection

    Pratt School of Engineering, Duke University, Durham, North Carolina, United States · Division of Marine Science and Conservation, Nicholas School of the Environment, Duke University, Durham, North Carolina, United States

  18. Processing and classifying bird songs using wavelet techniques and supervised learning

    Sep 9, 2026Laura Lucia Dominguez Barrios, Fidel Aniano Causil Barrios, Alex Rodrigo dos Santos Sousa +1Wavelet MethodsBioacoustics

    Department of Statistics, State University of Campinas, Campinas, Brazil

  19. What Does Animal Re-Identification Learn? Linear Biological Concepts and Their Origins in Visual Representations

    Sep 5, 2026Robert Nolting, Alexandra Schild, Moritz Weckbecker +2Animal Re-IdentificationVisual Representation Learning

    Hasso-Plattner Institute, Germany · University of Potsdam, Germany · Department of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute, Germany

  20. PuTR-CouT: Counting-by-Tracking in Camera-Trap Image Sequences

    Sep 4, 2026Fagner Cunha, Juan G. Colonna, Eulanda M. dos SantosObject CountingWildlife Monitoring

    Federal University of Amazonas Manaus, Amazonas, Brazil

  21. Counting Animals in Camera-Traps Image Sequences without Count Labels: Winning Solution to the iWildCam 2021 Challenge

    Sep 3, 2026Fagner Cunha, Juan G. Colonna, Eulanda M. dos SantosObject CountingWildlife Monitoring

    Federal University of Amazonas · Manaus, Amazonas, Brazil

  22. ChiroEcho: extending automated bat vocalisation classification beyond the learned taxonomy

    Aug 18, 2026Burooj Ghani, Welmoed Eversteijn, Milan van Hirtum +4ClassificationBioacoustics

    Naturalis Biodiversity Center · Department of Cognitive Science and Artificial Intelligence, Tilburg University · People and Nature Lab, University College London +1

  23. When One Modality Is Not Enough: Multimodal Sex and Life-Stage Classification of Red Deer from Aerial RGB-Thermal Video

    Aug 7, 2026Hugo Markoff, Christoph Praschl, Ivan Ludoški +3Multimodal ClassificationDrone-Based Wildlife Monitoring

    Aalborg University, Department of Chemistry and Bioscience, Aalborg, Denmark · University of Applied Sciences Upper Austria, Hagenberg, Austria · University of Novi Sad, Faculty of Agriculture, Novi Sad, Serbia +1

  24. Deep learning-based hierarchical insect classification using camera trap imagery

    Jul 30, 2026Zaki Mahfoud, Juan A. Chiavassa, Simon Walther +2Hierarchical ClassificationWildlife Monitoring

    Weihenstephan-Triesdorf University of Applied Sciences, Department of Sustainable Agriculture and Energy Systems, Professorship of Smart Farming, Am Staudengarten 1, 85354 Freising, Germany · Weihenstephan-Triesdorf University of Applied Sciences, Institute for Biomass Research, Neuseser Str. 1, 91732 Merkendorf, Germany · Weihenstephan-Triesdorf University of Applied Sciences, Department of Sustainable Agriculture and Energy Systems, Professorship of Digital Farm Management, Am Staudengarten 1, 85354 Freising, Germany

  25. Energy Constrained Hierarchical Underwater Monitoring via Local Multi-Agent RAG

    Jul 27, 2026Mohamed Amine Janati, Laurent Gautier, Stéphane BarbotEdge ComputingWildlife Monitoring

    Ifremer, 1625 RTE de Sainte-Anne, Plouzané, 29280, France · IMT Atlantique, Technopôle Brest-Iroise, CS 83818, Plouzané, 29280, France

  26. Ultra-Compact CNN Architectures for Tropical Bird Audio Detection on Microcontrollers

    Jul 22, 2026Muhammad Mun'im Ahmad Zabidi, Mohd Yamani Idna Idris, Norisma IdrisConvolutional Neural NetworksWildlife Monitoring

    Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia

  27. Automating Visual Recognition of Leprosy in Wild Chimpanzees

    Jul 19, 2026Katie I. Murray, Anna C. Bowland, Marina Ramon +9Wildlife MonitoringImage Classification

    University of Exeter, Centre for Ecology and Conservation, Penryn, UK · Wild Chimpanzee Foundation, Leipzig, Germany · University of Bristol, School of Computer Science, Bristol, UK

  28. DS@GT ARC at AnimalCLEF 2026: Species-Aware Graph Construction for Multi-Species Animal Re-Identification

    Jul 17, 2026Evan Sinclair Smith, Anthony Miyaguchi, Snigdha Palamari +1Animal Re-IdentificationImage Matching

    1Georgia Institute of Technology, North Ave NW, Atlanta, GA 30332

  29. MetaPerch: Learning from metadata for bioacoustics foundation models

    Jul 15, 2026Mustafa Chasmai, Vincent Dumoulin, Jenny HamerRepresentation LearningBioacoustics

    University of Massachusetts Amherst. · Google DeepMind.

  30. Prompting-MammAlps: Fine-Grained Text-to-Video Retrieval for Camera-Trap Data

    Jul 10, 2026Valentin Gabeff, Baptiste Maquignaz, Jennifer Shan +5Vision-Language RetrievalWildlife Monitoring

    Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland · Max Planck Institute of Animal Behavior, Konstanz, Germany · University of Konstanz, Konstanz, Germany