Video-based detection of goose behaviours.

摘要: In modern agriculture, automatic recognition of both wildlife and domestic animal behaviour is a vital tool in maintaining efficiency. Conflicts between agriculture are increasing, the development cost-effective methods for reducing damage or conflict levels important management. A wide range devices to detect deter animals causing used this purpose, although their effectiveness often highly variable, due habituation disruptive disturbing stimuli. Habituation could be avoided if scaring were capable detecting recognising behaviours, as makes it possible alter stimuli based on this. paper we present novel method automatically recognise goose behaviours video recordings wild barnacle geese (Branta leucopsis). Three basic presented classified paper: landing, foraging flushing. The three observed recorded natural environment. Optical flow utilized movement, classification achieved by Rule-Based Bayesian scheme. achieves good performance all with accuracy sensitivity measures 92%-97% 87%-99% respectively. We conclude that can free-living flocks.