DocumentCode
1810917
Title
Probabilistic graphicalmodels for human motion tracking
Author
Gómez, José I. ; Marín-Jiménez, M.J. ; de la Blanca, N. Pérez
Author_Institution
Dept. Comput. Sci., Univ. of Jaen, Jaen
fYear
2009
fDate
6-8 May 2009
Firstpage
145
Lastpage
148
Abstract
Graphical models have proved to be very efficient models for labeling image data. In particular, they have been used to label data samples from human body images. In this paper, a DTG-based graphical model is studied for human-body landmark localization and tracking along the image sequence. Experimental results on human motion databases are shown.
Keywords
computer graphics; graph theory; image sequences; probability; tracking; visual databases; data sample; decomposable triangulated graph; human motion tracking; image database; image sequence; probabilistic graphical model; Biological system modeling; Computer science; Costs; Graphical models; Humans; Image databases; Image sequences; Labeling; Probability distribution; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis for Multimedia Interactive Services, 2009. WIAMIS '09. 10th Workshop on
Conference_Location
London
Print_ISBN
978-1-4244-3609-5
Electronic_ISBN
978-1-4244-3610-1
Type
conf
DOI
10.1109/WIAMIS.2009.5031453
Filename
5031453
Link To Document