DocumentCode
2562304
Title
Action Recognition and Understanding using Motor Primitives
Author
Kyrki, Ville ; Vicente, Isabel Serrano ; Kragic, Danica ; Eklundh, Jan-Olof
Author_Institution
Lappeenranta Univ. of Technol., Lappeenranta
fYear
2007
fDate
26-29 Aug. 2007
Firstpage
1113
Lastpage
1118
Abstract
We investigate modeling and recognition of arm manipulation actions of different levels of complexity. To model the process, we are using a combination of discriminative support vector machines and generative hidden Markov models. The experimental evaluation, performed with 10 people, investigates both definition and structure of primitive motions as well as the validity of the modeling approach taken.
Keywords
gesture recognition; hidden Markov models; support vector machines; action recognition; action understanding; arm manipulation actions; discriminative support vector machines; generative hidden Markov models; motor primitives; Computer vision; Hidden Markov models; Human robot interaction; Information technology; Mirrors; Performance evaluation; Robot vision systems; Support vector machine classification; Support vector machines; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Robot and Human interactive Communication, 2007. RO-MAN 2007. The 16th IEEE International Symposium on
Conference_Location
Jeju
Print_ISBN
978-1-4244-1634-9
Electronic_ISBN
978-1-4244-1635-6
Type
conf
DOI
10.1109/ROMAN.2007.4415247
Filename
4415247
Link To Document