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Segmentation and tracking of piglets in images (1995)

McFarlane, N. J. B. ; Schofield, C. P.

Springer

Machine vision and applications 8 (1995), S. 187-193

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ISSN: 1432-1769

Keywords: Tracking ; Segmentation ; Pigs ; Animals ; Computer vision

Source: Springer Online Journal Archives 1860-2000

Topics: Computer Science

Notes: Abstract An algorithm was developed for the segmentation and tracking of piglets and tested on a 200-image sequence of 10 piglets moving on a straw background. The image-capture rate was 1 image/140 ms. The segmentation method was a combination of image differencing with respect to a median background and a Laplacian operator. The features tracked were blob edges in the segmented image. During tracking, the piglets were modelled as ellipses initialised on the blobs. Each piglet was tracked by searching for blob edges in an elliptical window about the piglet's position, which was predicted from its previous two positions.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/BF01215814

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