201904:Action recognition based on 2D skeletons extracted from RGB videos
論文標題：Action recognition based on 2D skeletons extracted from RGB videos 發表時間：02 April 2019 解決問題/主要思想：來源：谷歌最新論文推薦，來自全球排名大概550名的蒙斯大學 使用openPose對圖像提取關鍵點，然後計算關鍵點的信息，分成三個矩陣，輸入網絡訓練，從而對動作進行分類 成果/優點： the hi
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相關文章
- 1. 2017 sensors之ReID：Person Recognition System Based on a Combination of Body Images from Visible Light
- 2. CV Datasets on the web
- 3. Applying vector median filter on RGB image based on matlab
- 4. Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description
- 5. TruNet: Short Videos Generation from Long Videos via Story-Preserving Truncation（論文翻譯）
- 6. Deep Learning for Videos: A 2018 Guide to Action Recognition
- 7. Generalized face anti-spoofing by detecting pulse from face videos
- 8. RGB-D object recognition and pose estimation based on pre-trained convolutional neural network 閱讀記錄
- 9. Two-Stream SR-CNNs for Action Recognition in Videos
- 10. 譯：Two-stream convolutional networks for action recognition in videos