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

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作者： Harry Wooseuk,Ryu ^[1] ; Joo Ho,Tai ^[2]

作者单位： Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul 08826, Korea. ^[1] Department of Computer Science, University of Toronto, Toronto, Ontario, M5S 1A1, Canada. ^[2] Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul 08826, Korea. jhtai@snu.ac.kr. ^[3]

关键词 3D depth camera African swine fever artificial intelligence object detection precision livestock farming

主题词非洲猪瘟(African Swine Fever);非洲猪瘟病毒(African Swine Fever Virus);动物(Animals);人工智能(Artificial Intelligence);家畜(Livestock);猪(Swine);猪疾病(Swine Diseases)

DOI 10.4142/jvs.21252

PMID 35088954

发布时间 2022-02-08

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