Fast human pose detection using randomized hierarchical cascades of rejectors
This paper addresses human detection and pose estimation from monocular images by formulating it as a classification problem. Our main contribution is a multi-class pose detector that uses the best components of state-of-the-art classifiers including hierarchical trees, cascades of rejectors as well...
Main Authors: | Rogez, G, Rihan, J, Orrite-Uruñuela, C, Torr, PHS |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Springer
2012
|
Similar Items
-
Fast Human Pose Detection Using Randomized Hierarchical Cascades of Rejectors
by: Rogez, G, et al.
Published: (2012) -
Randomized trees for human pose detection
by: Rogez, G, et al.
Published: (2008) -
Exploiting projective geometry for view-invariant monocular human motion analysis in man-made environments
by: Rogez, G, et al.
Published: (2014) -
Hand pose estimation using hierarchical detection
by: Stenger, B, et al.
Published: (2004) -
Simultaneous segmentation and pose estimation of humans using dynamic graph cuts
by: Kohli, P, et al.
Published: (2008)