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Efficient Pipeline for Camera Trap Image Review

arXiv 1907.06772 ↗First posted 15 Jul 2019cs.CVcited by 79

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Abstract (arXiv)

Biologists all over the world use camera traps to monitor biodiversity and wildlife population density. The computer vision community has been making strides towards automating the species classification challenge in camera traps, but it has proven difficult to to apply models trained in one region to images collected in different geographic areas. In some cases, accuracy falls off catastrophically in new region, due to both changes in background and the presence of previously-unseen species. We propose a pipeline that takes advantage of a pre-trained general animal detector and a smaller set of labeled images to train a classification model that can efficiently achieve accurate results in a new region.

Key facts. Cited by 79 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Jul 2019.

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Citing papers per year: 2021: 11; 2022: 5; 2023: 11; 2024: 16; 2025: 16; 2026: 20.

79 papers.

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  1. 2021Seeing biodiversity: perspectives in machine learning for wildlife conservationcited by 129
  2. 2021Extending the WILDS Benchmark for Unsupervised Adaptationcited by 85
  3. 2021The iWildCam 2021 Competition Datasetcited by 77
  4. 2021Perspectives on individual animal identification from biology and computer visioncited by 31
  5. 2023Out-of-Domain Robustness via Targeted Augmentationscited by 24
  6. 2024PanAf20K: A Large Video Dataset for Wild Ape Detection and Behaviour Recognitioncited by 22
  7. 2021Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoringcited by 16
  8. 2023SAOR: Single-View Articulated Object Reconstructioncited by 15
  9. 2024Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservationcited by 14
  10. 2025MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alpscited by 14
  11. 2023Automated wildlife image classification: An active learning tool for ecological applicationscited by 11
  12. 2022Dynamic Curriculum Learning for Great Ape Detection in the Wildcited by 10
38 more
  1. 2022SOCRATES: A Stereo Camera Trap for Monitoring of Biodiversitycited by 10
  2. 2021ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identificationcited by 8
  3. 2024Controlled Training Data Generation with Diffusion Modelscited by 8
  4. 2023Human-in-the-Loop Visual Re-ID for Population Size Estimationcited by 7
  5. 2024Animal Identification with Independent Foreground and Background Modelingcited by 7
  6. 2022Choosing an Appropriate Platform and Workflow for Processing Camera Trap Data using Artificial Intelligencecited by 6
  7. 2024Insect Identification in the Wild: The AMI Datasetcited by 6
  8. 2025DataS^3: Dataset Subset Selection for Specializationcited by 6
  9. 2025The SA-FARI Dataset: Segment Anything in Footage of Animals for Recognition and Identificationcited by 6
  10. 2022Automated Distance Estimation for Wildlife Camera Trappingcited by 5
  11. 2024CATALOG: A Camera Trap Language-guided Contrastive Learning Modelcited by 5
  12. 2021Overcoming the Distance Estimation Bottleneck in Estimating Animal Abundance with Camera Trapscited by 4
  13. 2023Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learningcited by 4
  14. 2025CzechLynx: A Dataset for Individual Identification and Pose Estimation of the Eurasian Lynxcited by 4
  15. 2026Vision Transformers for Zero-Shot Clustering of Animal Images: A Comparative Benchmarking Studycited by 4
  16. 2021A first step towards automated species recognition from camera trap images of mammals using AI in a European temperate forestcited by 3
  17. 2024Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Designcited by 3
  18. 2024Deep learning-based ecological analysis of camera trap images is impacted by training data quality and quantitycited by 3
  19. 2026Future of Edge AI in biodiversity monitoringcited by 3
  20. 2021Application of deep learning to camera trap data for ecologists in planning / engineering -- Can captivity imagery train a model which generalises to the wild?cited by 2
  21. 2023Conservation Tools: The Next Generation of Engineering--Biology Collaborationscited by 2
  22. 2023Automatic Individual Identification of Patterned Solitary Species Based on Unlabeled Video Datacited by 2
  23. 2023A benchmark for computational analysis of animal behavior, using animal-borne tagscited by 2
  24. 2025Selective Prediction Reduces the Negative Effects of Automation Bias Overall but Increases False Negativescited by 2
  25. 2021Image-to-Image Translation of Synthetic Samples for Rare Classescited by 1
  26. 2022Towards Individual Grevy's Zebra Identification via Deep 3D Fitting and Metric Learningcited by 1
  27. 2023Teaching Computer Vision for Ecologycited by 1
  28. 2023Robot Goes Fishing: Rapid, High-Resolution Biological Hotspot Mapping in Coral Reefs with Vision-Guided Autonomous Underwater Vehiclescited by 1
  29. 2023Elephants and Algorithms: A Review of the Current and Future Role of AI in Elephant Monitoringcited by 1
  30. 2024Detecting Out-of-Distribution Objects through Class-Conditioned Inpaintingcited by 1
  31. 2024Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image Retrievalcited by 1
  32. 2024Whole-Herd Elephant Pose Estimation from Drone Data for Collective Behavior Analysiscited by 1
  33. 2024AI-Driven Real-Time Monitoring of Ground-Nesting Birds: A Case Study on Curlew Detection Using YOLOv10cited by 1
  34. 2024Adapting the re-ID challenge for static sensorscited by 1
  35. 2025A Bird Song Detector for improving bird identification through Deep Learning: a case study from Do~nanacited by 1
  36. 2025Wildlife Target Re-Identification Using Self-supervised Learning in Non-Urban Settingscited by 1
  37. 2025Zero-Shot Wildlife Sorting Using Vision Transformers: Evaluating Clustering and Continuous Similarity Orderingcited by 1
  38. 2025Nearest-Class Mean and Logits Agreement for Wildlife Open-Set Recognitioncited by 1

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