2D Human Pose Estimation: New Benchmark and State of the Art Analysis
- M. Andriluka, L. Pishchulin, Peter Gehler, B. Schiele
- Computer ScienceIEEE Conference on Computer Vision and Pattern…
- 23 June 2014
A novel benchmark "MPII Human Pose" is introduced that makes a significant advance in terms of diversity and difficulty, a contribution that is required for future developments in human body models.
Pictorial structures revisited: People detection and articulated pose estimation
- M. Andriluka, S. Roth, B. Schiele
- Computer ScienceIEEE Conference on Computer Vision and Pattern…
- 20 June 2009
This paper proposes a generic approach based on the pictorial structures framework, and demonstrates that such a model is equally suitable for both detection and pose estimation tasks, outperforming the state of the art on three recently proposed datasets.
A database for fine grained activity detection of cooking activities
- Marcus Rohrbach, S. Amin, M. Andriluka, B. Schiele
- Computer ScienceIEEE Conference on Computer Vision and Pattern…
- 1 June 2012
A novel database of 65 cooking activities, continuously recorded in a realistic setting, is proposed, suggesting that fine-grained activities are more difficult to detect and the body model can help in those cases.
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
- L. Pishchulin, Eldar Insafutdinov, B. Schiele
- Computer ScienceComputer Vision and Pattern Recognition
- 20 November 2015
An approach that jointly solves the tasks of detection and pose estimation: it infers the number of persons in a scene, identifies occluded body parts, and disambiguates body parts between people in close proximity of each other is proposed.
Monocular 3D pose estimation and tracking by detection
- M. Andriluka, S. Roth, B. Schiele
- Computer ScienceIEEE Computer Society Conference on Computer…
- 13 June 2010
A three-stage process building on a number of recent advances to recover 3D human pose from monocular image sequences and demonstrates state-of-the-art performance on the HumanEva II benchmark, and shows the applicability of the approach to articulated 3D tracking in realistic street conditions.
DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model
- Eldar Insafutdinov, L. Pishchulin, Bjoern Andres, M. Andriluka, B. Schiele
- Computer ScienceEuropean Conference on Computer Vision
- 10 May 2016
The goal of this paper is to advance the state-of-the-art of articulated pose estimation in scenes with multiple people. To that end we contribute on three fronts. We propose (1) improved body part…
People-tracking-by-detection and people-detection-by-tracking
- M. Andriluka, S. Roth, B. Schiele
- Computer ScienceIEEE Conference on Computer Vision and Pattern…
- 23 June 2008
This paper combines the advantages of both detection and tracking in a single framework using a hierarchical Gaussian process latent variable model (hGPLVM) and presents experimental results that demonstrate how this allows to detect and track multiple people in cluttered scenes with reoccurring occlusions.
End-to-End People Detection in Crowded Scenes
- Russell Stewart, M. Andriluka, A. Ng
- Computer ScienceComputer Vision and Pattern Recognition
- 16 June 2015
This work proposes a model that is based on decoding an image into a set of people detections, which takes an image as input and directly outputs aset of distinct detection hypotheses.
3D Pictorial Structures for Multiple Human Pose Estimation
- Vasileios Belagiannis, S. Amin, M. Andriluka, B. Schiele, Nassir Navab, Slobodan Ilic
- Computer ScienceIEEE Conference on Computer Vision and Pattern…
- 1 June 2014
A novel 3D pictorial structures (3DPS) model is introduced that infers 3D human body configurations from the authors' reduced state space and is generic and applicable to both single and multiple human pose estimation.
PoseTrack: A Benchmark for Human Pose Estimation and Tracking
- M. Andriluka, Umar Iqbal, B. Schiele
- Computer ScienceIEEE/CVF Conference on Computer Vision and…
- 27 October 2017
PoseTrack is a new large-scale benchmark for video-based human pose estimation and articulated tracking that conducts an extensive experimental study on recent approaches to articulated pose tracking and provides analysis of the strengths and weaknesses of the state of the art.
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