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Communication Dans Un Congrès Année : 2006

A temporal belief filter improving human action recognition in videos

Emmanuel Ramasso
  • Fonction : Auteur
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Michèle Rombaut
Denis Pellerin

Résumé

In the context of human action recognition in video sequences, a Temporal Belief Filter based on the Transferable Belief Model is proposed. It ensures a consistency in the temporal belief evolution. The filter is useful to cope with varying video quality and experiment conditions by smoothing belief on actions and solving conflict due to contradictory parameters. The proposed approach is validated on real video sequences with moving camera under several view angles.
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Dates et versions

hal-00067996 , version 1 (10-05-2006)

Identifiants

  • HAL Id : hal-00067996 , version 1

Citer

Emmanuel Ramasso, Michèle Rombaut, Denis Pellerin. A temporal belief filter improving human action recognition in videos. IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP'06, 2006, Toulouse, France. ⟨hal-00067996⟩
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