Deep learning-based tracking of multiple objects in the context of farm animal ethology

HIGHLIGHTS

  • who: R. Ali et al. from the XXIV ISPRS Congress (, edition), June, Nice, France Institute of Photogrammetry and GeoInformation, Leibniz University Hannover, Germany have published the Article: DEEP LEARNING-BASED TRACKING OF MULTIPLE OBJECTS IN THE CONTEXT OF FARM ANIMAL ETHOLOGY, in the Journal: (JOURNAL)
  • what: In this paper an automatic poultry tracking algorithm is proposed. Since such manual procedures are extremely timeconsuming, the goal of this work is to provide automatically extracted trajectories of all animals in an image sequence. The authors investigate the potential of animal tracking using the tracktor approach presented in_ . . .

     

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