Results 51 to 60 of about 1,565,944 (379)

Development of a camera trap for perching dragonflies: a new tool for freshwater environmental assessment [PDF]

PeerJ, 2020
Although dragonflies are excellent environmental indicators for monitoring terrestrial water ecosystems, automatic monitoring techniques using digital tools are limited. We designed a novel camera trapping system with an original dragonfly detector based
Akira Yoshioka, Akira Shimizu, Hiroyuki Oguma, Nao Kumada, Keita Fukasawa, Shoma Jingu, Taku Kadoya   +6 more
doaj   +2 more sources

Coming down from the trees: is terrestrial activity in Bornean orangutans natural or disturbance driven? [PDF]

, 2014
The orangutan is the world's largest arboreal mammal, and images of the red ape moving through the tropical forest canopy symbolise its typical arboreal behaviour. Records of terrestrial behaviour are scarce and often associated with habitat disturbance.
Ambu, Laurentius N, Ancrenaz, Marc, Bernard, Henry, Bohm, Torsten, Brodie, Jedediah, Cheyne, Susan M, Fredriksson, Gabriella, Gardner, Penny C, Goossens, Benoit, Hanya, Goro, Harrison, Mark E, Hearn, Andrew J, Kanamori, Tomoko, Kretzschmar, Petra, Lee, Shan Khee, Loken, Brent, Macdonald, David W, Matsuda, Ikki, Meijaard, Erik, Mohamed, Azlan, Nakabayasi, Miyabi, Riger, Peter, Ross, Joanna, Samejima, Hiromitsu, Sollmann, Rahel, Spehar, Stephanie, Stark, Danica J, Wich, Serge, Wilting, Andreas   +28 more
core   +4 more sources

CameraTrapDetectoR: Automatically detect, classify, and count animals in camera trap images using artificial intelligence

bioRxiv, 2022
Motion-activated wildlife cameras, or camera traps, are widely used in biological monitoring of wildlife. Studies using camera traps amass large numbers of images and analyzing these images can be a large burden that inhibits research progress.
M. A. Tabak, Daniel Falbel, Tess Hamzeh, R. Brook, J. Goolsby, Lisa D. Zoromski, R. Boughton, Nathan P. Snow, K. Vercauteren, Ryan S. Miller   +9 more
semanticscholar   +1 more source

Camera Trap Approaches Using Artificial Intelligence and Citizen Science (ITALIC)

International Transactions on Artificial Intelligence (ITALIC), 2022
For the purpose of tracking several animal species, camera trapping is developing into a more reliable and popular technology. The idea of "citizen science"—incorporating members of the public into the research process—has been gaining momentum ...
U. Rahardja
semanticscholar   +1 more source

Detecting Soil Microarthropods with a Camera-Supported Trap [PDF]

Insects, 2020
There is an increasing need to monitor activity and population growth of arthropods; however, this is a time-consuming and financially demanding process. Using sensors to detect arthropods in the field can help to follow their dynamics in time. Improving our earlier device, we developed a new camera-supported probe to detect soil microarthropods.
Norbert Flórián, Laura Gránicz, Veronika Gergócs, Franciska Tóth, Miklós Dombos   +4 more
openaire   +3 more sources

Camera Trapping for Wildlife

EDIS
Camera traps provide a means to easily and unobtrusively view wildlife for a variety of purposes, providing information on the makeup of wildlife communities and sometimes animal behavior. While frequently used, there are currently many different cameras available with a variety of different settings. This publication discusses some of the ways cameras
B. W. McDonald, B. M. Mason, C. T. Callaghan, M. A. Lashley, C. Baruzzi   +4 more
openaire   +3 more sources

Effects of camera trap placement on photo rates of jaguars, their prey, and competitors in northwestern Costa Rica

Wildlife Society Bulletin, 2023
The use of camera‐trap methods, though important, has pitfalls and inconsistencies such as factors and interactions that may influence species photo rates.
Victor H. Montalvo, Carolina Sáenz‐Bolaños, Juan C. Cruz‐Díaz, Jason M. Kamilar, Eduardo Carrillo, Todd K. Fuller   +5 more
doaj   +1 more source

Camera trap images

, 2022
This projects contains code, data and trained model weights.
openaire   +1 more source

Automatic Recognition of Mammal Genera on Camera-Trap Images using Multi-Layer Robust Principal Component Analysis and Mixture Neural Networks

, 2017
The segmentation and classification of animals from camera-trap images is due to the conditions under which the images are taken, a difficult task. This work presents a method for classifying and segmenting mammal genera from camera-trap images.
Diaz-Pulido, Angélica, Giraldo-Zuluaga, Jhony-Heriberto, Gomez, Alexander, Salazar, Augusto   +3 more
core   +1 more source

Single Atom Imaging with an sCMOS camera [PDF]

, 2017
Single atom imaging requires discrimination of weak photon count events above background and has typically been performed using either EMCCD cameras, photomultiplier tubes or single photon counting modules.
C. J. Picken, Foot C. J., J. D. Pritchard, R. Legaie   +3 more
core   +2 more sources