z-logo
open-access-imgOpen Access
Object detection and tracking using a high-performance artificial intelligence-based 3D depth camera: towards early detection of African swine fever
Author(s) -
Harry Wooseuk Ryu,
Joo Ho Tai
Publication year - 2021
Publication title -
journal of veterinary science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.547
H-Index - 47
eISSN - 1976-555X
pISSN - 1229-845X
DOI - 10.4142/jvs.21252
Subject(s) - artificial intelligence , computer vision , computer science , object detection , minimum bounding box , object (grammar) , identification (biology) , tracking (education) , video tracking , tracking system , 3d modeling , pattern recognition (psychology) , image (mathematics) , biology , ecology , psychology , pedagogy , kalman filter

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom