dc.contributor.author |
Hassanpour, Reza
|
|
dc.contributor.author |
Birdal, Ahmet
|
|
dc.date.accessioned |
2020-04-18T13:30:01Z |
|
dc.date.available |
2020-04-18T13:30:01Z |
|
dc.date.issued |
2005 |
|
dc.identifier.citation |
Hassanpour, Reza; Birdal, Ahmet, "Real time hand-face tracking using skin color and motion", WMSCI 2005: 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Vol 5, pp.344-347, (2005). |
tr_TR |
dc.identifier.isbn |
978-980-6560-57-4 |
|
dc.identifier.uri |
http://hdl.handle.net/20.500.12416/3347 |
|
dc.description.abstract |
Human hand gestures and face expressions are a major tool for communicating ideas between people. Hand gestures may also account for the main part of the communication when other tools are not preferred or simply not available. First step for an automatic interpretation of these gestures and expressions is their segmentation and tracking. We have developed an algorithm to track hand motions in real time. Our algorithm is based on the motion and color features of the interested areas. A modified form of Adaptive Mean Shift method is used for tracking hands and face. A rule based system monitors the correctness of the segmentation and tracking. |
tr_TR |
dc.language.iso |
eng |
tr_TR |
dc.publisher |
Int Inst Informatics & Systemics |
tr_TR |
dc.rights |
info:eu-repo/semantics/closedAccess |
tr_TR |
dc.subject |
Hand-Face Segmentation |
tr_TR |
dc.subject |
Tracking |
tr_TR |
dc.subject |
Skin Color |
tr_TR |
dc.title |
Real time hand-face tracking using skin color and motion |
tr_TR |
dc.type |
workingPaper |
tr_TR |
dc.relation.journal |
WMSCI 2005: 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Vol 5 |
tr_TR |
dc.identifier.volume |
5 |
tr_TR |
dc.identifier.startpage |
344 |
tr_TR |
dc.identifier.endpage |
347 |
tr_TR |
dc.contributor.department |
Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü |
tr_TR |