Authors:
K. K. Delibasis
1
;
V. P. Plagianakos
1
and
I. Maglogiannis
2
Affiliations:
1
University of Central Greece, Greece
;
2
University of Piraeus, Greece
Keyword(s):
Human Activity Detection, Computer Vision, Fisheye Camera Modeling, 3D Human Modeling, Posture Recognition.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Device Calibration, Characterization and Modeling
;
Image Formation and Preprocessing
;
Pervasive Smart Cameras
Abstract:
In this paper we present a system that uses computer vision techniques and a deformable 3D human model, in order to recognize the posture of a monitored person, given the segmented human silhouette from the background. The video data are acquired indoors from a fixed fish-eye camera placed in the living environment. The implemented 3D human model collaborates with a fish-eye camera model, allowing the calculation of the real human position in the 3D-space and consequently recognizing the posture of the monitored person. The paper discusses the details of the human model and fish-eye camera model, as well as the posture recognition methodology. Initial results are also presented for a small number of video sequences, of walking or standing humans.