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- W598408734 abstract "In modern agriculture, automatic recognition of both wildlife and domestic animal behaviour is a vital tool in maintaining efficiency. Conflicts between agriculture and wildlife are increasing, and the development of cost-effective methods for reducing damage or conflict levels is important in wildlife management. A wide range of devices to detect and deter animals causing conflict are used for this purpose, although their effectiveness is often highly variable, due to habituation to disruptive or disturbing stimuli. Habituation could be avoided if scaring devices were capable of detecting and recognising behaviours, as this makes it possible to alter the disruptive or disturbing stimuli based on this. In this paper we present a novel method to automatically recognise goose behaviours based on video recordings of wild barnacle geese (Branta leucopsis). Three basic behaviours are presented and classified in this paper: landing, foraging and flushing. The three behaviours were observed and recorded in a natural environment. Optical flow is utilized to detect the movement, and the classification is achieved by a Rule-Based Bayesian scheme. The method achieves good performance of detecting all three behaviours, with accuracy and sensitivity measures of 92%-97% and 87%-99% respectively. We conclude that video recordings can be used to automatically detect behaviour of free-living geese flocks." @default.
- W598408734 created "2016-06-24" @default.
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- W598408734 date "2012-01-01" @default.
- W598408734 modified "2023-09-28" @default.
- W598408734 title "Video-based detection of goose behaviours." @default.
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