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Published in

Kluwer, Computational Imaging and Vision, p. 105-130, 2008

DOI: 10.1007/978-1-4020-6693-1_5

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Detection and Tracking of Humans in Single View Sequences Using 2D Articulated Model

Journal article published in 2008 by Filip Korc (Filip Korč, Václav Hlavác ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

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Data provided by SHERPA/RoMEO

Abstract

This work contributes to detection and tracking of walking or running humans in surveillance video sequences. We propose a 2D model-based approach to the whole body tracking in a video sequence captured from a single camera view. An extended six-link biped human model is employed. We assume that a static camera observes the scene horizontally or obliquely. Persons can be seen from a continuum of views ranging from a lateral to a frontal one. We do not expect humans to be the only moving objects in the scene and to appear at the same scale at different image locations.