DocumentCode
2518394
Title
Toward human motion search using fingerprinting
Author
Adistambha, Kevin ; Davis, Stephen ; Ritz, Christian H. ; Stirling, David ; Burnett, Ian S.
Author_Institution
Sch. of Electr., Comput., & Telecommun. Eng., Univ. of Wollongong, Wollongong, NSW, Australia
fYear
2012
fDate
2-5 Oct. 2012
Firstpage
1033
Lastpage
1038
Abstract
This paper investigates a `fingerprinting´ technique for describing human motion sequences. This work shows that human motion fingerprints can facilitate the search of human motion within large databases, similar to the fingerprinting approach used for the search of audio and image databases. This paper investigates the extraction of a reliable set of features from human motion capture data sequences that can be combined to generate a unique fingerprint. Results show that the fingerprints could be used to reliably differentiate between unique motions.
Keywords
feature extraction; image motion analysis; image sequences; visual databases; data sequences; feature extraction; fingerprinting technique; human motion search; human motion sequences; large databases; Data mining; Databases; Feature extraction; Fingerprint recognition; Humans; Legged locomotion; Turning;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Information Technologies (ISCIT), 2012 International Symposium on
Conference_Location
Gold Coast, QLD
Print_ISBN
978-1-4673-1156-4
Electronic_ISBN
978-1-4673-1155-7
Type
conf
DOI
10.1109/ISCIT.2012.6380843
Filename
6380843
Link To Document