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Conference Paper
Elaborated real-time 3D human pose estimation on simulator
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- Authors
- MINJONG KIM, SANGSEUNG KANG, SUYOUNG CHI
- Issue Date
- 2018-08
- Citation
- International Conference on Big Data Applications and Services (BigDAS) 2018, pp.361-368
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper presents an accurate real-time human pose estimation using a single depth image on a simulator. Our algorithm estimates seven sides of the human skeleton within an approximately ten-pixel difference compared with those of the ground truth dataset. For the proposed human pose estimation, we combine two methods: random tree walk with a depth comparison, and pixelwise classification within a local area. To evaluate our proposed algorithm, we used the ETRI database. Our evaluation on a simulator shows very sophisticated accuracy within approximately a ten-pixel difference at a speed of 40 fps on the simulator.
- KSP Keywords
- 3D human pose estimation, Ground Truth, Human Skeleton, Random tree, Real-time 3d, Single Depth Image, local area, pixel difference