Double-Camera Fusion System for Animal-Position Awareness in Farming Pens

ABSTRACT: In livestock breeding, continuous and objective monitoring of animals is manually unfeasible due to the large scale of breeding and expensive labour. Computer vision technology can generate accurate and real-time individual animal or animal group information from video surveillance. However, the frequent occlusion between animals and changes in appearance features caused by varying lighting conditions makes single-camera systems less attractive. We propose a double-camera system and image registration algorithms to spatially fuse the information from different viewpoints to solve these issues. This paper presents a deformable learning-based registration framework, where the input image pairs are initially linearly pre-registered. Then, an unsupervised convolutional neural network is employ

SUBMITTER: Huo S 

PROVIDER: S-EPMC9818956 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature