Developing a multi-Kinect-system for monitoring in dairy cows: object recognition and surface analysis using wavelets

Animal : an International Journal of Animal Bioscience
Jennifer SalauWolfgang Junge

Abstract

Camera-based systems in dairy cattle were intensively studied over the last years. Different from this study, single camera systems with a limited range of applications were presented, mostly using 2D cameras. This study presents current steps in the development of a camera system comprising multiple 3D cameras (six Microsoft Kinect cameras) for monitoring purposes in dairy cows. An early prototype was constructed, and alpha versions of software for recording, synchronizing, sorting and segmenting images and transforming the 3D data in a joint coordinate system have already been implemented. This study introduced the application of two-dimensional wavelet transforms as method for object recognition and surface analyses. The method was explained in detail, and four differently shaped wavelets were tested with respect to their reconstruction error concerning Kinect recorded depth maps from different camera positions. The images' high frequency parts reconstructed from wavelet decompositions using the haar and the biorthogonal 1.5 wavelet were statistically analyzed with regard to the effects of image fore- or background and of cows' or persons' surface. Furthermore, binary classifiers based on the local high frequencies have been...Continue Reading

References

Aug 5, 2004·Journal of Dairy Science·C B TuckerD Fraser
Apr 28, 2007·Acta Paediatrica·Anders Bergh, Olle Söder

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Citations

Aug 19, 2016·Animal : an International Journal of Animal Bioscience·I Halachmi, M Guarino
Jan 2, 2021·Animals : an Open Access Journal From MDPI·Jennifer SalauGeorg Thaller
Apr 5, 2019·Journal of Neuroscience Methods·Taiki YabumotoHideki Mochizuki

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