Sciweavers

Share
CVPR
2009
IEEE

Pictorial Structures Revisited: People Detection and Articulated Pose Estimation

10 years 5 months ago
Pictorial Structures Revisited: People Detection and Articulated Pose Estimation
Non-rigid object detection and articulated pose estimation are two related and challenging problems in computer vision. Numerous models have been proposed over the years and often address different special cases, such as pedestrian detection or upper body pose estimation in TV footage. This paper shows that such specialization may not be necessary, and proposes a generic approach based on the pictorial structures framework. We show that the right selection of components for both appearance and spatial modeling is crucial for general applicability and overall performance of the model. The appearance of body parts is modeled using densely sampled shape context descriptors and discriminatively trained AdaBoost classifiers. Furthermore, we interpret the normalized margin of each classifier as likelihood in a generative model. Non-Gaussian relationships between parts are represented as Gaussians in the coordinate system of the joint between parts. The marginal posterior of ...
Mykhaylo Andriluka (TU Darmstadt), Stefan Roth (TU
Added 05 May 2009
Updated 19 Jul 2010
Type Conference
Year 2009
Where CVPR
Authors Mykhaylo Andriluka (TU Darmstadt), Stefan Roth (TU Darmstadt), Bernt Schiele (TU Darmstadt)
Comments (0)
books