3D Pictorial Structures for Multiple View Articulated Pose Estimation
We consider the problem of automatically estimating the 3D pose of humans from images, taken from multiple calibrated views. We show that it is possible and tractable to extend the pictorial structures framework, popular for 2D pose estimation, to 3D. We discuss how to use this framework to impose v...
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| Vydané v: | 2013 IEEE Conference on Computer Vision and Pattern Recognition s. 3618 - 3625 |
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| Hlavní autori: | , , |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
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IEEE
01.06.2013
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| ISSN: | 1063-6919, 1063-6919 |
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| Abstract | We consider the problem of automatically estimating the 3D pose of humans from images, taken from multiple calibrated views. We show that it is possible and tractable to extend the pictorial structures framework, popular for 2D pose estimation, to 3D. We discuss how to use this framework to impose view, skeleton, joint angle and intersection constraints in 3D. The 3D pictorial structures are evaluated on multiple view data from a professional football game. The evaluation is focused on computational tractability, but we also demonstrate how a simple 2D part detector can be plugged into the framework. |
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| AbstractList | We consider the problem of automatically estimating the 3D pose of humans from images, taken from multiple calibrated views. We show that it is possible and tractable to extend the pictorial structures framework, popular for 2D pose estimation, to 3D. We discuss how to use this framework to impose view, skeleton, joint angle and intersection constraints in 3D. The 3D pictorial structures are evaluated on multiple view data from a professional football game. The evaluation is focused on computational tractability, but we also demonstrate how a simple 2D part detector can be plugged into the framework. |
| Author | Sullivan, Josephine Burenius, Magnus Carlsson, Stefan |
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| Snippet | We consider the problem of automatically estimating the 3D pose of humans from images, taken from multiple calibrated views. We show that it is possible and... |
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| SubjectTerms | Cameras Dynamic programming Estimation human pose estimation Joints motion capture multiple view 3D reconstruction part-based models pictorial structures Three-dimensional displays Tree graphs |
| Title | 3D Pictorial Structures for Multiple View Articulated Pose Estimation |
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