Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation
- 1 January 2012
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC in Lecture Notes in Computer Science
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Articulated part-based model for joint object detection and pose estimationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Learning effective human pose estimation from inaccurate annotationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Fast globally optimal 2D human detection with loopy graph modelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Improved Human Parsing with a Full Relational ModelLecture Notes in Computer Science, 2010
- Clustered Pose and Nonlinear Appearance Models for Human Pose EstimationPublished by British Machine Vision Association and Society for Pattern Recognition ,2010
- A Study of Parts-Based Object Class Detection Using Complete GraphsInternational Journal of Computer Vision, 2009
- Better appearance models for pictorial structuresPublished by British Machine Vision Association and Society for Pattern Recognition ,2009
- Progressive search space reduction for human pose estimationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- Representation and recognition of the spatial organization of three-dimensional shapesProceedings of the Royal Society of London. B. Biological Sciences, 1978
- The Representation and Matching of Pictorial StructuresIEEE Transactions on Computers, 1973