Application of ANN techniques to automated identification of bovine livestock

González-Velasco, Horacio M.; Aligué, Francisco Javier López; Garcı́a-Orellana, Carlos J.; Macías, Miguel Macías; Sotoca, M. Isabel Acevedo

doi:10.1007/bfb0100509

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Cited by 3 publications

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“…A problem with this procedure is the "subjectivity" (González Velasco et al, 1999): as a matter of fact, it is sometimes difficult that different judges, although well trained, give the same assessment to the same animal. Besides an update in the standard, or in selection goals, can probably wipe out a data set of morphological scores whilst linear scores will stand.…”

Section: Introductionmentioning

confidence: 99%

Suitability of linear scoring in meat sheep: the practical case of Merinizzata Italiana breed

Pieramati

Lasagna

Panella

et al. 2011

Italian Journal of Animal Science

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Section: Introductionmentioning

confidence: 99%

Suitability of linear scoring in meat sheep: the practical case of Merinizzata Italiana breed

Pieramati

Lasagna

Panella

et al. 2011

Italian Journal of Animal Science

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GA Techniques Applied to Contour Search in Images of Bovine Livestock

González-Velasco

Garcı́a-Orellana

Macías

et al. 2001

Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence

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Segmentation of Bovine Livestock Images Using Ga and Asm in a Two-Step Approach

González-Velasco

Garcı́a-Orellana

Aligué

et al. 2003

Int. J. Patt. Recogn. Artif. Intell.

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In this work a system based on genetic algorithms (GA) and active shape models (ASM) is presented that, in a two-step approach, is able to accurately find a particular object within the image. The aim of the first stage is to approximately locate the object in order to serve as an initialization for the second. Following a method similar to that used by other authors, a model of the desired shape (cows in lateral position) is constructed using PDM, and later the search within the image is carried out based on instances of that model, and using genetic algorithm techniques, for which several objective functions are suggested. In the second stage we attempt to make a fine adjustment of our instance to the object in the image, starting from the result of the previous process. Consequently, we propose two different techniques compared afterwards: deformable contours (specifically active shape models) and a restricted genetic search. Finally, the system is tested over a database of 309 animal images, and results are presented.

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Application of ANN techniques to automated identification of bovine livestock

Cited by 3 publications

References 4 publications

Suitability of linear scoring in meat sheep: the practical case of Merinizzata Italiana breed

Suitability of linear scoring in meat sheep: the practical case of Merinizzata Italiana breed

GA Techniques Applied to Contour Search in Images of Bovine Livestock

Segmentation of Bovine Livestock Images Using Ga and Asm in a Two-Step Approach

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