2D Human Pose Estimation: New Benchmark and State of the Art Analysis
Max Planck Institute for Informatics · Max Planck Society · +2 more institutions
Abstract
Human pose estimation has made significant progress during the last years. However current datasets are limited in their coverage of the overall pose estimation challenges. Still these serve as the common sources to evaluate, train and compare different models on. In this paper we introduce a novel benchmark "MPII Human Pose" that makes a significant advance in terms of diversity and difficulty, a contribution that we feel is required for future developments in human body models. This comprehensive dataset was collected using an established taxonomy of over 800 human activities [1]. The collected images cover a wider variety of human activities than previous datasets including various recreational,…
Citation impact
- FWCI
- 64.01
- Percentile
- 100%
- References
- 24
Authors
4- MAMykhaylo AndrilukaCorresponding
Max Planck Institute for Informatics, Max Planck Society, Stanford University
- LPLeonid Pishchulin
Max Planck Society, Max Planck Institute for Informatics
- PGPeter Gehler
Max Planck Society, Max Planck Institute for Intelligent Systems
- BSBernt Schiele
Max Planck Society, Max Planck Institute for Informatics
Topics & keywords
- Pose
- Computer science
- Benchmark (surveying)
- Artificial intelligence
- Viewpoints
- Torso
- Variety (cybernetics)
- Orientation (vector space)