Probabilistic graphicalmodels for human motion tracking

Autor:	Manuel J. Marín-Jiménez, José I. Gómez, N. Pérez de la Blanca
Rok vydání:	2009
Předmět:	Landmark business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Probabilistic logic Graph theory Tracking (particle physics) Image (mathematics) Computer graphics Probability distribution Computer vision Artificial intelligence Graphical model business
Zdroj:	WIAMIS
DOI:	10.1109/wiamis.2009.5031453
Popis:	Graphical models have proved to be very efficient models for labeling image data. In particular, they have been used to label data samples fromhuman 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1857dd286e386fa324aacb2767fd93d7 https://doi.org/10.1109/wiamis.2009.5031453 Zobrazit plný text záznamu