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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…

Computer Vision and Pattern Recognition · Computer Science 2019-07-17 Sara Beery , Dan Morris , Siyu Yang

Climate change and other anthropogenic factors have led to a catastrophic decline in insects, endangering both biodiversity and the ecosystem services on which human society depends. Data on insect abundance, however, remains woefully…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Aditya Jain , Fagner Cunha , Michael Bunsen , Léonard Pasi , Anna Viklund , Maxim Larrivée , David Rolnick

Camera traps have transformed how ecologists study wildlife species distributions, activity patterns, and interspecific interactions. Although camera traps provide a cost-effective method for monitoring species, the time required for data…

Machine Learning · Computer Science 2022-02-07 Juliana Vélez , Paula J. Castiblanco-Camacho , Michael A. Tabak , Carl Chalmers , Paul Fergus , John Fieberg

Biodiversity conservation depends on accurate, up-to-date information about wildlife population distributions. Motion-activated cameras, also known as camera traps, are a critical tool for population surveys, as they are cheap and…

Machine Learning · Computer Science 2019-10-23 Mohammad Sadegh Norouzzadeh , Dan Morris , Sara Beery , Neel Joshi , Nebojsa Jojic , Jeff Clune

The management of natural environments, whether for conservation or production, requires a deep understanding of wildlife. The number, location, and behavior of wild animals are among the main subjects of study in ecology and wildlife…

Computer Vision and Pattern Recognition · Computer Science 2025-02-07 Federico Gonzalez , Leonel Viera , Rosina Soler , Lucila Chiarvetto Peralta , Matias Gel , Gimena Bustamante , Abril Montaldo , Brian Rigoni , Ignacio Perez

Camera traps enable the automatic collection of large quantities of image data. Ecologists use camera traps to monitor animal populations all over the world. In order to estimate the abundance of a species from camera trap data, ecologists…

Computer Vision and Pattern Recognition · Computer Science 2021-05-11 Sara Beery , Arushi Agarwal , Elijah Cole , Vighnesh Birodkar

A new open-source image processing pipeline for analyzing camera trap time-lapse recordings is described. This pipeline includes machine learning models to assist human-in-the-loop video segmentation and animal re-identification. We present…

Computer Vision and Pattern Recognition · Computer Science 2022-06-13 Michael L. Hilton , Mark T. Yamane , Leah M. Knezevich

Camera Traps (or Wild Cams) enable the automatic collection of large quantities of image data. Biologists all over the world use camera traps to monitor biodiversity and population density of animal species. The computer vision community…

Computer Vision and Pattern Recognition · Computer Science 2019-07-18 Sara Beery , Dan Morris , Pietro Perona

The biodiversity crisis is still accelerating, despite increasing efforts by the international community. Estimating animal abundance is of critical importance to assess, for example, the consequences of land-use change and invasive species…

Computer Vision and Pattern Recognition · Computer Science 2021-12-23 Timm Haucke , Hjalmar S. Kühl , Jacqueline Hoyer , Volker Steinhage

Camera traps are a valuable tool for studying biodiversity, but research using this data is limited by the speed of human annotation. With the vast amounts of data now available it is imperative that we develop automatic solutions for…

Computer Vision and Pattern Recognition · Computer Science 2019-04-26 Sara Beery , Grant van Horn , Oisin Mac Aodha , Pietro Perona

Camera traps are vital for large-scale biodiversity monitoring, yet accurate automated analysis remains challenging due to diverse deployment environments. While the computer vision community has mostly framed this challenge as cross-domain…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Sooyoung Jeon , Hongjie Tian , Lemeng Wang , Zheda Mai , Vidhi Bakshi , Jiacheng Hou , Ping Zhang , Arpita Chowdhury , Jianyang Gu , Wei-Lun Chao

We introduce a lightweight experimentation pipeline designed to lower the barrier for applying machine learning (ML) methods for classifying images in ecological research. We enable ecologists to experiment with ML models independently,…

Computer Vision and Pattern Recognition · Computer Science 2026-01-23 Clare Chemery , Hendrik Edelhoff , Ludwig Bothmann

Camera traps enable the automatic collection of large quantities of image data. Biologists all over the world use camera traps to monitor animal populations. We have recently been making strides towards automatic species classification in…

Computer Vision and Pattern Recognition · Computer Science 2020-04-23 Sara Beery , Elijah Cole , Arvi Gjoka

Platforms that run artificial intelligence (AI) pipelines on edge computing resources are transforming the fields of animal ecology and biodiversity, enabling novel wildlife studies in animals' natural habitats. With emerging remote sensing…

Systems and Control · Electrical Eng. & Systems 2025-10-23 Jenna Kline , Austin O'Quinn , Tanya Berger-Wolf , Christopher Stewart

Camera traps are used by ecologists globally as an efficient and non-invasive method to monitor animals. While it is time-consuming to manually label the collected images, recent advances in deep learning and computer vision has made it…

Computer Vision and Pattern Recognition · Computer Science 2024-03-26 Gareth Lamb , Ching Hei Lo , Jin Wu , Calvin K. F. Lee

Data acquisition in animal ecology is rapidly accelerating due to inexpensive and accessible sensors such as smartphones, drones, satellites, audio recorders and bio-logging devices. These new technologies and the data they generate hold…

Birds are important indicators for monitoring both biodiversity and habitat health; they also play a crucial role in ecosystem management. Decline in bird populations can result in reduced eco-system services, including seed dispersal,…

Computer Vision and Pattern Recognition · Computer Science 2023-05-04 Carl Chalmers , Paul Fergus , Serge Wich , Steven N Longmore , Naomi Davies Walsh , Philip Stephens , Chris Sutherland , Naomi Matthews , Jens Mudde , Amira Nuseibeh

Studying animal movement and distribution is of critical importance to addressing environmental challenges including invasive species, infectious diseases, climate and land-use change. Motion sensitive camera traps offer a visual sensor to…

Networking and Internet Architecture · Computer Science 2010-09-30 Roland Kays , Sameer Tilak , Bart Kranstauber , Patrick A. Jansen , Chris Carbone , Marcus J. Rowcliffe , Tony Fountain , Jay Eggert , Zhihai He

Insects represent half of all global biodiversity, yet many of the world's insects are disappearing, with severe implications for ecosystems and agriculture. Despite this crisis, data on insect diversity and abundance remain woefully…

Camera traps are important tools in animal ecology for biodiversity monitoring and conservation. However, their practical application is limited by issues such as poor generalization to new and unseen locations. Images are typically…

Computer Vision and Pattern Recognition · Computer Science 2024-08-27 Vardaan Pahuja , Weidi Luo , Yu Gu , Cheng-Hao Tu , Hong-You Chen , Tanya Berger-Wolf , Charles Stewart , Song Gao , Wei-Lun Chao , Yu Su
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