Rodent behavior annotation from video - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Reports (Technical Report) Year : 2005

Rodent behavior annotation from video

Jakob Verbeek

Abstract

In this report we describe the models with which we experimented to predict rodent behavior from video recordings. Automatic recognition of rodent behavior from video is a desirable tool in behavioral studies since it can significantly reduce the required human effort and simultaneously reduce the dependence of results on particular human observers. In our research we considered several variants of Hidden Markov Models and compared results against a simple logistic discriminant classifier that ignores the correlation of behaviors between successive frames. For a selection of four behaviors a correct classification rate around 75% is obtained.
Fichier principal
Vignette du fichier
verbeek05tr2.pdf (278.64 Ko) Télécharger le fichier
Vignette du fichier
Ver05.png (141.91 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Format : Figure, Image
Loading...

Dates and versions

inria-00548500 , version 1 (20-12-2010)

Identifiers

  • HAL Id : inria-00548500 , version 1

Cite

Jakob Verbeek. Rodent behavior annotation from video. [Technical Report] IAS-UVA-05-02, University of Amsterdam. 2005, pp.18. ⟨inria-00548500⟩

Collections

LARA
213 View
116 Download

Share

Gmail Facebook X LinkedIn More