ArticleScience advances2021
Automated audiovisual behavior recognition in wild primates.
Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed.
- From pixels to conservation: Deep learning for automated monitoring of rare and endangered wildlife.iScience · 2026Article
- Assessing attentiveness and cognitive engagement across tasks using video-based action understanding in non-human primates.Journal of neuroscience methods · 2025Article
- Article
- Camera Traps Document Infant Corpse Carrying Behaviour in Multiple Unhabituated Chimpanzee Populations.Ecology and evolution · 2025Article
- Detect+Track: robust and flexible software tools for improved tracking and behavioural analysis of fish.Royal Society open science · 2025Article
- Three-dimensional markerless motion capture of multiple freely behaving monkeys toward automated characterization of social behavior.Science advances · 2025Article
- Computer vision for primate behavior analysis in the wild.Nature methods · 2025Review
- The growing methodological toolkit for identifying and studying social learning and culture in non-human animals.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- The MacqD deep-learning-based model for automatic detection of socially housed laboratory macaques.Scientific reports · 2025Article
- A computer vision solution for behavioral recognition in red pandas.Scientific reports · 2025Article
- Reliable long-term individual variation in wild chimpanzee technological efficiency.Nature human behaviour · 2025Article
- OpenLabCluster: active learning based clustering and classification of animal behaviors based on kinematic body keypoints.Frontiers in systems neuroscience · 2025Article
- From Forest to Zoo: Great Ape Behavior Recognition with ChimpBehave.International journal of computer vision · 2025Article
- Voice Analysis in Dogs with Deep Learning: Development of a Fully Automatic Voice Analysis System for Bioacoustics Studies.Sensors (Basel, Switzerland) · 2024Article
- Behavioral Coding of Captive African Elephants (Animals : an open access journal from MDPI · 2024Article
- Application of Machine Learning for Automating Behavioral Tracking of Captive Bornean Orangutans (Animals : an open access journal from MDPI · 2024Article
- A toolkit for the dynamic study of air sacs in siamang and other elastic circular structures.PLoS computational biology · 2024Article
- GesturalOrigins: A bottom-up framework for establishing systematic gesture data across ape species.Behavior research methods · 2024Article
- Article
- Elephants and algorithms: a review of the current and future role of AI in elephant monitoring.Journal of the Royal Society, Interface · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Large video datasets of wild animal behavior are crucial to produce longitudinal research and accelerate conservation efforts; however, large-scale behavior analyses continue to be severely constrained by time and resources. We present a deep convolutional neural network approach and fully automated pipeline to detect and track two audiovisually distinctive actions in wild chimpanzees: buttress drumming and nut cracking. Using camera trap and direct video recordings, we train action recognition models using audio and visual signatures of both behaviors, attaining high average precision (buttress drumming: 0.87 and nut cracking: 0.85), and demonstrate the potential for behavioral analysis using the automatically parsed video. Our approach produces the first automated audiovisual action recognition of wild primate behavior, setting a milestone for exploiting large datasets in ethology and conservation.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.