Please use this identifier to cite or link to this item:
|Title:||Action recognition using shared motion parts|
|Citation:||The Eighth IEEE International Workshop on Visual Surveillance - VS2008, Marseille, France (2008) / pp.1-8|
|Conference Name:||International Workshop on Visual Surveillance (8th : 2008 : Marseille, France)|
|Alonso Patron-Perez, Eric Sommerlade and Ian Reid|
|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.|
|Rights:||Copyright status unknown|
|Appears in Collections:||Aurora harvest|
Computer Science publications
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.