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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

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 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

Non intrusive monitoring of animals in the wild is possible using camera trapping framework, which uses cameras triggered by sensors to take a burst of images of animals in their habitat. However camera trapping framework produces a high…

Computer Vision and Pattern Recognition · Computer Science 2016-03-23 Alexander Gomez , Augusto Salazar , Francisco Vargas

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

Having accurate, detailed, and up-to-date information about the location and behavior of animals in the wild would revolutionize our ability to study and conserve ecosystems. We investigate the ability to automatically, accurately, and…

Computer Vision and Pattern Recognition · Computer Science 2017-11-17 Mohammed Sadegh Norouzzadeh , Anh Nguyen , Margaret Kosmala , Ali Swanson , Meredith Palmer , Craig Packer , Jeff Clune

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

We present the PanAf20K dataset, the largest and most diverse open-access annotated video dataset of great apes in their natural environment. It comprises more than 7 million frames across ~20,000 camera trap videos of chimpanzees and…

People detection methods are highly sensitive to the perpetual occlusions among the targets. As multi-camera set-ups become more frequently encountered, joint exploitation of the across views information would allow for improved detection…

Computer Vision and Pattern Recognition · Computer Science 2017-07-31 Tatjana Chavdarova , Pierre Baqué , Stéphane Bouquet , Andrii Maksai , Cijo Jose , Louis Lettry , Pascal Fua , Luc Van Gool , François Fleuret

Wildlife monitoring is crucial to nature conservation and has been done by manual observations from motion-triggered camera traps deployed in the field. Widespread adoption of such in-situ sensors has resulted in unprecedented data volumes…

Computer Vision and Pattern Recognition · Computer Science 2020-09-25 Sayali Kulkarni , Tomer Gadot , Chen Luo , Tanya Birch , Eric Fegraus

Camera trap imagery has become an invaluable asset in contemporary wildlife surveillance, enabling researchers to observe and investigate the behaviors of wild animals. While existing methods rely solely on image data for classification,…

Computer Vision and Pattern Recognition · Computer Science 2024-09-10 Aslak Tøn , Ammar Ahmed , Ali Shariq Imran , Mohib Ullah , R. Muhammad Atif Azad

Animal habitat surveys play a critical role in preserving the biodiversity of the land. One of the effective ways to gain insights into animal habitats involves identifying animal footprints, which offers valuable information about species…

Computer Vision and Pattern Recognition · Computer Science 2024-06-17 Risa Shinoda , Kaede Shiohara

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

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

This study revisits the findings of Carl et al., who evaluated the pre-trained Google Inception-ResNet-v2 model for automated detection of European wild mammal species in camera trap images. To assess the reproducibility and…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Tobias Abraham Haider

Giant panda (panda) is a highly endangered animal. Significant efforts and resources have been put on panda conservation. To measure effectiveness of conservation schemes, estimating its population size in wild is an important task. The…

Computer Vision and Pattern Recognition · Computer Science 2019-10-01 Wojciech Michal Matkowski , Adams Wai Kin Kong , Han Su , Peng Chen , Rong Hou , Zhihe Zhang

Camera-traps is a relatively new but already popular instrument in the estimation of abundance of non-identifiable animals. Although camera-traps are convenient in application, there remain both theoretical complications such as spatial…

Quantitative Methods · Quantitative Biology 2017-03-23 Evgeny Ivanko

Large image collections generated from camera traps offer valuable insights into species richness, occupancy, and activity patterns, significantly aiding biodiversity monitoring. However, the manual processing of these datasets is…

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

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
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