Search Results for author: Ijaz Akhter

Found 5 papers, 1 papers with code

Super-Trajectories: A Compact Yet Rich Video Representation

no code implementations22 Jan 2019 Ijaz Akhter, Cheong Loong Fah, Richard Hartley

We propose a new video representation in terms of an over-segmentation of dense trajectories covering the whole video.

Superpixels

Towards Accurate Markerless Human Shape and Pose Estimation over Time

no code implementations24 Jul 2017 Yinghao Huang, Federica Bogo, Christoph Lassner, Angjoo Kanazawa, Peter V. Gehler, Ijaz Akhter, Michael J. Black

Existing marker-less motion capture methods often assume known backgrounds, static cameras, and sequence specific motion priors, which narrows its application scenarios.

Pose Estimation

Pose-Conditioned Joint Angle Limits for 3D Human Pose Reconstruction

no code implementations CVPR 2015 Ijaz Akhter, Michael J. Black

Second, we define a general parametrization of body pose and a new, multi-stage, method to estimate 3D pose from 2D joint locations using an over-complete dictionary of poses.

3D Human Pose Estimation 3D Pose Estimation

Nonrigid Structure from Motion in Trajectory Space

no code implementations NeurIPS 2008 Ijaz Akhter, Yaser Sheikh, Sohaib Khan, Takeo Kanade

Existing approaches to nonrigid structure from motion assume that the instantaneous 3D shape of a deforming object is a linear combination of basis shapes, which have to be estimated anew for each video sequence.

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