Group-wise MDL based registration of small animals in video sequences

Abstract : We propose a method for the non-rigid tracking of small animals in video sequences. Based on an image sequence showing the animal, first a sub-set of images with coherent pose is chosen automatically. Then a robust rigid registration determines the coarse animal body pose in the set of frames and a subsequent non-rigid group-wise registration using the minimum description length principle learns a deformation model of the animal. It obtains a non-rigid mapping between the individual positions and shapes of the animal during the sequence, based on discrete sets of landmark candidates and according texture features. This is of high relevance in small animal research to integrate signals from multiple frames, and cannot be achieved by standard continuous registration methods. We report first experimental results on video sequences of a rat.
Type de document :
Communication dans un congrès
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008, Paris, France. pp.1179 - 1182, 2008
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00918721
Contributeur : Enzo Ferrante <>
Soumis le : samedi 14 décembre 2013 - 12:38:50
Dernière modification le : mardi 5 février 2019 - 13:52:14

Identifiants

  • HAL Id : hal-00918721, version 1

Collections

Citation

Han Yuan, Georg Langs, Nikos Paragios. Group-wise MDL based registration of small animals in video sequences. 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008, Paris, France. pp.1179 - 1182, 2008. 〈hal-00918721〉

Partager

Métriques

Consultations de la notice

312