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 :
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