Rigid Part Decomposition in a Graph Pyramid

Authors:
Nicole M. Artner;Adrian Ion;Walter G. Kropatsch
Affiliations:
AIT Austrian Institute of Technology, Vienna, Austria;PRIP, Vienna University of Technology, Austria;PRIP, Vienna University of Technology, Austria
Venue:
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Year:
2009

Citing 13
Cited 5

Relative sensitivity of a family of closet-point graphs in computer vision applications

Pattern Recognition
Region-based parametric motion segmentation using color information

Graphical Models and Image Processing
The visual analysis of human movement: a survey

Computer Vision and Image Understanding
Human motion analysis: a review

Computer Vision and Image Understanding
Otakar Borůvka on minimum spanning tree problem translation of both the 1926 papers, comments, history

Discrete Mathematics
Efficient Graph-Based Image Segmentation

International Journal of Computer Vision
Pictorial Structures for Object Recognition

International Journal of Computer Vision
Vision pyramids that do not grow too high

Pattern Recognition Letters - Special issue: In memoriam Azriel Rosenfeld
A survey of advances in vision-based human motion capture and analysis

Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Video Object Segmentation Using Graphs

CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Tracking Objects beyond Rigid Motion

GbRPR '09 Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition
Segmenting highly articulated video objects with weak-prior random forests

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Video segmentation based on multiple features for interactive multimedia applications

IEEE Transactions on Circuits and Systems for Video Technology

When Pyramids Learned Walking

CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Multi-scale 2D tracking of articulated objects using hierarchical spring systems

Pattern Recognition
Reprint of: Multi-scale 2D tracking of articulated objects using hierarchical spring systems

Pattern Recognition
Spatio-temporal extraction of articulated models in a graph pyramid

GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
Hierarchical spatio-temporal extraction of models for moving rigid parts

Pattern Recognition Letters

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents an approach to extract the rigid parts of an observed articulated object. First, a spatio-temporal filtering in a video selects interest points that correspond to rigid parts. This selection is driven by the spatial relationships and the movement of the interest points. Then, a graph pyramid is built, guided by the orientation changes of the object parts in the scene. This leads to a decomposition of the scene into its rigid parts. Each vertex in the top level of the pyramid represents one rigid part in the scene.