PDF-Articulated Human Detection with Flexible MixturesofParts Yi Yang Member IEEE and Deva PDF document

Rather than modeling articulation using a family of warped rotated and foreshortened templates we use a mixture of small nonoriented parts We describe a general

Upload by kittie-lecroy
Published on 2014-12-01

Presentation Embed Code

<iframe width="560" height="315" src="https://www.docslides.com/embed/19241" frameborder="0" allowfullscreen></iframe>

Download Presentation

Download Presentation The PPT/PDF document "Articulated Human Detection with Flexibl..." is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Articulated Human Detection with Flexible MixturesofParts Yi Yang Member IEEE and Deva: Transcript

PDF-Articulated Human Detection with Flexible MixturesofParts Yi Yang Member IEEE and Deva PDF document

Presentation Embed Code

Download Presentation

Articulated Human Detection with Flexible MixturesofParts Yi Yang Member IEEE and Deva: Transcript

Related Contents

Actions as SpaceTime Shapes Lena Gorelick Moshe Blank Eli Shechtman Student Member IEEE

Articulated People Detection and Pose Estimation: Reshaping

Contour Detection and Hierarchical Image Segmentation Pablo Arbel aez Member IEEE Michael

D Articulated Human Pose Estimation and Retrieval in A

Fast and Globally Convergent Pose Estimation from Video Images ChienPing Lu Member IEEE

Modeling Mutual Context of Object and Human Pose in Human-O

Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities

Nonparametric Scene Parsing via Label Transfer Ce Liu Member IEEE Jenny Yuen Student

Bangpeng

Accurately Measuring Denial of Service in Simulation and Testbed Experiments Jelena Mirkovic

Partbased models for nding people and estimating their pose Deva Ramanan Abstract This

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II BlockInterlaced LDPC Decoders with Reduced

Fast Approximate Energy Minimization via Graph Cuts Yuri Boykov Member IEEE Olga Veksler

Learning to parse images of articulated bodies Deva Ramanan Toyota Technological Institute