Action recognition using shared motion parts - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2008

Action recognition using shared motion parts

Abstract

In this paper we analyse the advantages of a joint boosting method, previously known in the object recognition community, to detect and classify action keyframes. The method focuses on sharing object parts among action classes. Instead of sharing parts that only encode shape similarities, we propose to include motion information as an extra clue for sharing. We show that the inclusion of motion information significantly improves the recognition accuracy. The method is tested using a standard action database containing 10 action classes obtaining perfect classification. It also yields promising results on complicated videos including complex background.
Fichier principal
Vignette du fichier
VS2008-Poster-j.pdf (452.95 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inria-00325655 , version 1 (29-09-2008)

Identifiers

  • HAL Id : inria-00325655 , version 1

Cite

Alonso Patron-Perez, Eric Sommerlade, Ian Reid. Action recognition using shared motion parts. The Eighth International Workshop on Visual Surveillance - VS2008, Graeme Jones and Tieniu Tan and Steve Maybank and Dimitrios Makris, Oct 2008, Marseille, France. ⟨inria-00325655⟩

Collections

VS2008
89 View
60 Download

Share

Gmail Facebook X LinkedIn More