Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/2105
Título: Multi-scale cortical keypoints for realtime hand tracking and gesture recognition
Autor: Farrajota, Miguel
Saleiro, Mário
Tersic, K.
Rodrigues, J. M. F.
du Buf, J. M. H.
Palavras-chave: Visão humana
Data: 2012
Citação: Miguel Farrajota; Mario Saleiro; K. Tersic; Rodrigues, J.M.F.; du Buf, J.M.H. Multi-scale cortical keypoints for realtime hand tracking and gesture recognition, Trabalho apresentado em 1st Int. Workshop on Cognitive Assistive Systems, In Proc 1st Int. Workshop on Cognitive Assistive Systems: Closing the Action-Perception Loop (ISBN 978-972-8822-26-2) in conjunction with IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Vilamoura, Portugal, 2012
Resumo: Human-robot interaction is an interdisciplinary research area which aims at integrating human factors, cognitive psychology and robot technology. The ultimate goal is the development of social robots. These robots are expected to work in human environments, and to understand behavior of persons through gestures and body movements. In this paper we present a biological and realtime framework for detecting and tracking hands. This framework is based on keypoints extracted from cortical V1 end-stopped cells. Detected keypoints and the cells’ responses are used to classify the junction type. By combining annotated keypoints in a hierarchical, multi-scale tree structure, moving and deformable hands can be segregated, their movements can be obtained, and they can be tracked over time. By using hand templates with keypoints at only two scales, a hand’s gestures can be recognized.
Peer review: yes
URI: http://hdl.handle.net/10400.1/2105
ISBN: 978-972-8822-26-2
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