![Joint HOG [19]
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Mean Shift Clustering [18]
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:HOG
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Mean Shift Clustering [18]
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Real-Time Human Detection Based on Range Image Segmentation
2013 10 2 ∗1 ∗1 ∗2 ∗3
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Sprint thesisintroduction
- 1. : Vol.19 No.4 2014.11 p239- 245https://www.jstage.jst.go.jp/article/jjpa/19/4/19_KJ00009622847/_pdf/-char/ja X Development of Form Check Application for Effective Muscle Training 9 2019/9/12
- 2. Distinctive Image Features from Scale-Invariant Keypoints(https://www.robots.ox.ac.uk/~vgg/research/affine/ det_eval_files/lowe_ijcv2004.pdf) SVM MIT INRIA Detection Error Tradeoff (DET) Wavelet HOG R-HOG C-HOG Haar wavelet based detector FP (Histograms of Oriented Gradients) SVM Histograms of Oriented Gradients for Human Detection 2005 6 Navneet Dalal /Bill Triggs 2019/9/12
- 3. Joint HOG [19] . Mean Shift Clustering [18] . :HOG . . . Mean Shift Clustering [18] ( ) . ( ) Real-Time Human Detection Based on Range Image Segmentation 2013 10 2 ∗1 ∗1 ∗2 ∗3 ∗3
- 4. MPII dataset COCO 2016 keypoint challenge Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields ∗ 2017 Zhe Cao Tomas Simon Shih-En Wei Yaser Sheikh The Robotics Institute, Carnegie Mellon University 2019/9/12
- 5. COCO 0.665 0.687 COCO test-dev PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model 22 Mar 2018 George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy