A model driven 3D image interpretation system applied to person detection in video images

Author

Munkelt, Olaf ; Ridder, Christof ; Hansel, David ; Hafner, Walter

Author_Institution

FORWISS, Munchen, Germany

Volume

1

fYear

1998

fDate

16-20 Aug 1998

Firstpage

70

Abstract

Detecting persons in images is up to now an unsolved problem in general. We propose an approach which strictly follows the assumption that only objects and parts of these objects can be detected, if their appearance is known in advance. We consider the detection step as a first step towards the recognition process. The latter contains the reasoning about the movements of a person. The appearance of a 3D object means the description of the mapping of object features into the image. The proposed system uses a hierarchical model to control the image segmentation and matching process. It is a multipurpose model for articulated objects which is supporting the linkage of different features

Keywords

computer vision; feature extraction; image matching; image segmentation; inference mechanisms; learning systems; object recognition; stereo image processing; 3D image interpretation system; feature extraction; hierarchical model; image matching; image segmentation; learning systems; object recognition; person detection; reasoning; video images; Cameras; Computer vision; Electrical capacitance tomography; Ergonomics; Feature extraction; Image segmentation; Joints; Solid modeling; Surveillance; User interfaces;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on

Conference_Location

Brisbane, Qld.

ISSN

1051-4651

Print_ISBN

0-8186-8512-3

Type

conf

DOI

10.1109/ICPR.1998.711082

Filename

711082