Monocular 3D pose estimation and tracking by detection

US8958600B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-8958600-B2
Application numberUS-201113702266-A
CountryUS
Kind codeB2
Filing dateJun 14, 2011
Priority dateJun 12, 2010
Publication dateFeb 17, 2015
Grant dateFeb 17, 2015

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Abstract

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Methods and apparatus are described for monocular 3D human pose estimation and tracking, which are able to recover poses of people in realistic street conditions captured using a monocular, potentially moving camera. Embodiments of the present invention provide a three-stage process involving estimating ( 10, 60, 110 ) a 3D pose of each of the multiple objects using an output of 2D tracking-by detection ( 50 ) and 2D viewpoint estimation ( 46 ). The present invention provides a sound Bayesian formulation to address the above problems. The present invention can provide articulated 3D tracking in realistic street conditions. The present invention provides methods and apparatus for people detection and 2D pose estimation combined with a dynamic motion prior. The present invention provides not only 2D pose estimation for people in side views, it goes beyond this by estimating poses in 3D from multiple viewpoints. The estimation of poses is done in monocular images, and does not require stereo images. Also the present invention does not require detection of characteristic poses of people.

First claim

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The invention claimed is: 1. An image processor for detection and tracking of a 3D pose of each of multiple objects in a sequence of monocular images, the 3D pose representing at least a 3D configuration of movable parts of the object, the image processor comprising: one or more 2D pose detectors for estimating a pose of each of the multiple objects in an image; a 2D tracking and viewpoint estimation computation part for receiving the outputs of the 2D pose detectors and being a…

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What does patent US8958600B2 cover?
Methods and apparatus are described for monocular 3D human pose estimation and tracking, which are able to recover poses of people in realistic street conditions captured using a monocular, potentially moving camera. Embodiments of the present invention provide a three-stage process involving estimating ( 10, 60, 110 ) a 3D pose of each of the multiple objects using an output of 2D tracking-by …
Who is the assignee on this patent?
Othmezouri Gabriel, Sakata Ichiro, Schiele Bernt, and 4 more
What technology area does this patent fall under?
Primary CPC classification G06K9/00201. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Feb 17 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).