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With the Help of Machine Learning, Deep Learning and Image Processing. We Build three software, which help to detect objects, and their distance from the Camera and Human skeleton. This technology can…
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# Senselab Pose Estimation
**Goal:**
Integrate robust pose estimation workflows within Senselab
[ViTPose performs best on infants - mediapipe and deeplabcut are low on accuracy](https://arxiv.org/…
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1.(HMMR) Learning 3d human dynamics from video(2019)
temporal encoder: **1D temporal** convolutional layers, **precompute** the image features on each frame, get current and ±∆t frames prediction.
c…
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### Model description
ViTPose is used in 2D human pose estimation, a subset of the keypoint detection task #24044
It provides a simple baseline for vision transformer-based human pose estimation. …
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### Is your feature request related to a problem? Please describe.
Humans can make various pose/ body structure like in yoga and exercise.
### Describe the solution you'd like
I would like to use O…
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1.HoloPose: Holistic 3D Human Reconstruction In-The-Wild(2019)
mixture-of-experts rotation prior, part-based modeling( features co-varies with joint position)
code: can not open [http://arielai.com/…
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1.Shape-aware Multi-Person Pose Estimation from Multi-View Images(2021)
Part Affinity Fields (PAFs),2d clusters candidate to 3d cluster candididate, confidence-aware votingbased algorithm.
code: htt…
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As described in original paper there is some way to predict human pose keypoints. Can this version predict them?
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## 一言でいうと
街中での人検出に適した手法の提案。具体的には低解像度の画像から重なりがある状態での検知に挑戦している。キーポイントの位置を推定するPIFとつながりを推定するPAFの2つを出力するが、前者は単一点でなく分布、後者は直接接続でなく接続点予測という形で推定を行っている
PIF
![image](https://user-images.githubuserconten…
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1.Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild(2019)
In annotations used for input and supervision, dense correspondence can be more effective, or achieve same results when …