Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2017:
Metadata Last Update2020: administrator
Citation KeyCarvalhoFerrBran:2017:CoPoRe
TitleComparing pose recognition algorithms and introducing a new approach
DateOct. 17-20, 2017
Access Date2021, Jan. 21
Number of Files1
Size382 KiB
Context area
Author1 Carvalho, Gabriel Peixoto de
2 Ferreira, Fernando Teubl
3 Brandão, André Luiz
Affiliation1 Universidade Federal do ABC
2 Universidade Federal do ABC
3 Universidade Federal do ABC
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Tertiary TypeWork in Progress
History2017-09-05 18:40:41 :: -> administrator :: 2017
2020-02-20 22:06:46 :: administrator -> :: 2017
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Keywordshand pose recognition, multi-layer perceptron, support vector machines, SURF, SIFT, HOG, Camshift, gesture tracking.
AbstractGesture-based interaction with 3D objects is commonly done using color and depth (RGB-D) information. This kind of scheme requires specialized software and hardware (camera and depth sensor) which increases both financial and computational cost. Most of the public does not have access to such kind of technology due to these increased costs. Our ongoing study will be an approach for interaction with 3D objects with color (RGB) information and hand poses recognition. The interaction target is those made by one person with a single webcam. In this study, we intend to evaluate the use of commonly available algorithms to implement a pose acquisition scheme and present a comparative study of classification algorithms to achieve a low-cost and real-time interaction. Preliminary results demonstrate satisfactory performance with the hand pose acquisition scheme and classification algorithms, pointing to a real-time interaction capability.
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Next Higher Units8JMKD3MGPAW/3PJT9LS
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