論文翻譯：Recognizing Human Actions as the Evolution of Pose Estimation Maps
大多數基於視頻的動作識別方法選擇從整個視頻中提取特徵來識別動作。雜亂的背景和非動作的運動限制了這些方法的性能，因爲它們缺乏對人體運動的明確建模。根據人體姿態估計的最新進展，本文提出了一種新的識別人體動作的姿態估計地圖的進化方法。我們觀察到，姿態估計圖作爲姿態估計的副產品，保留了更豐富的人體線索，從而有利於動作識別，而不是依賴視頻中不準確的人體姿態估計。具體來說，位姿估計圖的演化可以分解爲熱圖的演化
相關文章
- 1. 【總結】Recognizing Human Actions as the Evolution of Pose Estimation Maps
- 2. 讀書筆記23：Recognizing Human Actions as the Evolution of Pose Estimation Maps（CVPR2018）
- 3. 論文閱讀: 3D Human Pose Estimation in the Wild by Adversarial Learning
- 4. Deep High-Resolution Representation Learning for Human Pose Estimation論文翻譯閱讀 - 2019CVPR
- 5. Deep High-Resolution Representation Learning for Human Pose Estimation論文翻譯
- 6. 論文翻譯：Stacked Hourglass Networks for Human Pose Estimation
- 7. DeepPose: Human Pose Estimation via Deep Neural Networks論文翻譯
- 8. 3D Human Pose Estimation = 2D Pose Estimation + Matching(2017)
- 9. 論文翻譯：FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
- 10. 【轉】DensePose: Dense Human Pose Estimation In The Wild
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相關文章
- 1. 【總結】Recognizing Human Actions as the Evolution of Pose Estimation Maps
- 2. 讀書筆記23：Recognizing Human Actions as the Evolution of Pose Estimation Maps（CVPR2018）
- 3. 論文閱讀: 3D Human Pose Estimation in the Wild by Adversarial Learning
- 4. Deep High-Resolution Representation Learning for Human Pose Estimation論文翻譯閱讀 - 2019CVPR
- 5. Deep High-Resolution Representation Learning for Human Pose Estimation論文翻譯
- 6. 論文翻譯：Stacked Hourglass Networks for Human Pose Estimation
- 7. DeepPose: Human Pose Estimation via Deep Neural Networks論文翻譯
- 8. 3D Human Pose Estimation = 2D Pose Estimation + Matching(2017)
- 9. 論文翻譯：FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
- 10. 【轉】DensePose: Dense Human Pose Estimation In The Wild