mlsanityData to 14 Oct 2026

ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification

arXiv 2106.15083 ↗First posted 29 Jun 2021cs.LG cs.CVcited by 8

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Abstract (arXiv)

African elephants are vital to their ecosystems, but their populations are threatened by a rise in human-elephant conflict and poaching. Monitoring population dynamics is essential in conservation efforts; however, tracking elephants is a difficult task, usually relying on the invasive and sometimes dangerous placement of GPS collars. Although there have been many recent successes in the use of computer vision techniques for automated identification of other species, identification of elephants is extremely difficult and typically requires expertise as well as familiarity with elephants in the population. We have built and deployed a web-based platform and database for human-in-the-loop re-identification of elephants combining manual attribute labeling and state-of-the-art computer vision algorithms, known as ElephantBook. Our system is currently in use at the Mara Elephant Project, helping monitor the protected and at-risk population of elephants in the Greater Maasai Mara ecosystem. ElephantBook makes elephant re-identification usable by non-experts and scalable for use by multiple conservation NGOs.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 27 of its 77 references that are in the map. First posted on arXiv 29 Jun 2021.

Builds on

27 of 77 references.

References · 27

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15 more
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 3; 2024: 2; 2025: 1; 2026: 1.

8 papers.

  1. 2022The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Countingcited by 24
  2. 2025Unsupervised Pelage Pattern Unwrapping for Animal Re-identificationcited by 4
  3. 2023Reflections from the Workshop on AI-Assisted Decision Making for Conservationcited by 2
  4. 2023Membership Inference Attack for Beluga Whales Discriminationcited by 1
  5. 2023Elephants and Algorithms: A Review of the Current and Future Role of AI in Elephant Monitoringcited by 1
  6. 2024Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image Retrievalcited by 1
  7. 2024Adapting the re-ID challenge for static sensorscited by 1
  8. 2026Active Learning for Biodiversity Monitoring: From Label Efficiency to Reliable Ecological Inferencecited by 0