Spatio-Temporal Extraction of Articulated Models in a Graph Pyramid Graph-Based Representations in Pattern Recognition

Artner, Nicole; Ion, Adrian; Kropatsch, Walter

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Record link:

http://hdl.handle.net/20.500.12708/53843

Title:

Spatio-Temporal Extraction of Articulated Models in a Graph Pyramid Graph-Based Representations in Pattern Recognition

Citation:

Artner, N., Ion, A., & Kropatsch, W. (2011). Spatio-Temporal Extraction of Articulated Models in a Graph Pyramid Graph-Based Representations in Pattern Recognition. In GbRPR’11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition (pp. 215–224). Lecture Notes in Computer Science, Vol. 6658, Springer/Xiaoyi Jiang, Miquel Ferrer, Andrea Torsello. http://hdl.handle.net/20.500.12708/53843

Publication Type:

Inproceedings - Full-Paper Contribution

Authors:

Artner, Nicole
Ion, Adrian
Kropatsch, Walter

Organisational Unit:

E193-03 - Forschungsbereich Pattern Recognition and Image Processing

Published in:

GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition

Date (published):

2011

Event name:

8th IAPR - TC-15 Workshop on Graph-based Representations in Pattern Recognition

Event date:

18-May-2011 - 20-May-2011

Event place:

Münster, Deutschland, EU

Number of Pages:

Publisher:

Lecture Notes in Computer Science, Vol. 6658, Springer/Xiaoyi Jiang, Miquel Ferrer, Andrea Torsello, Münster, Deutschland

Peer reviewed:

Yes

Abstract:

This paper presents a method to create a model of an articulated object using the planar motion in an initialization video. The model consists of rigid parts connected by points of articulation. The rigid parts are described by the positions of salient feature-points tracked throughout the video. Following a filtering step that identifies points that belong to different objects, rigid parts are found by a grouping process in a graph pyramid. Valid articulation points are selected by verifying multiple hypotheses for each pair of parts.

Research Areas:

Visual Computing and Human-Centered Technology: 100%

Science Branch:

Mathematik, Informatik

Appears in Collections:

Conference Paper

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