Object detection and tracking using a high-performance artificial intelligence-based 3D depth camera: towards early detection of African swine fever.

Journal: Journal of veterinary science

PMID: 35088954

Abstract

BACKGROUND: Inspection of livestock farms using surveillance cameras is emerging as a means of early detection of transboundary animal disease such as African swine fever (ASF). Object tracking, a developing technology derived from object detection aims to the consistent identification of individual objects in farms.

Authors

Harry Wooseuk Ryu

Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul 08826, Korea.
Joo Ho Tai

Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul 08826, Korea. jhtai@snu.ac.kr.

Keywords

African Swine Fever African Swine Fever Virus Animals Artificial Intelligence Farms Livestock Swine Swine Diseases

External Resources

View on PubMed Access via DOI PubMed (35088954)

Object detection and tracking using a high-performance artificial intelligence-based 3D depth camera: towards early detection of African swine fever.

Abstract

Authors

Keywords

External Resources

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