Identifying Animals in Camera Trap Images via Neural Architecture Search.

ABSTRACT: Wild animals are essential for ecosystem structuring and stability, and thus they are important for ecological research. Since most wild animals have high athletic or concealable abilities or both, it is used to be relatively difficult to acquire evidence of animal appearances before applications of camera traps in ecological researches. However, a single camera trap may produce thousands of animal images in a short period of time and inevitably ends up with millions of images requiring classification. Although there have been many methods developed for classifying camera trap images, almost all of them follow the pattern of a very deep convolutional neural network processing all camera trap images. Consequently, the corresponding surveillance area may need to be delicately controlled to m

SUBMITTER: Jia L 

PROVIDER: S-EPMC8843777 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature