第45回　コンピュータビジョン勉強会＠関東 コンピュータビジョンでこんなプログラム作りました大LT大会3

1. Depth Image
Keypoint Detection
@tkato_

2. •
• Twitter: @tkato_
• https://www.teamlab.art/
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4. Kinect
• Kinect V2
• Xtion2 macos NiTE2
• librealsense keypoint detection(skeleton)
RGB IR/Depth

5. Mask R-CNN
Task:Instance Segmentation, Keypoint detection
LT : https://www.slideshare.net/tetsurokato/mask-rcnn-91553374

6. Mask-RCNN
Depth
Keypoint Detection CPU 30fps

7. NN Architecture
Extractor
:16M
Conv-BN-Pooling
x1
RoI Align
https://github.com/yu4u/convnet-drawer

8. • UOW RGB-D Action Datasets
• https://www.uow.edu.au/~wanqing/#Datasets
• Kinect Skeleton Tracking
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9. iDeep
• Chainer 4 Intel CPU
• 2.5
• 2.3 GHz Intel Core i5 15fps
• leaky_relu iDeep function relu 18fps

10. test data

11. 2
Intel D435

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• segmentation
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13. soft target loss
Detectron/openpose
Soft target loss

14. •
• MobileNet, ShuffleNet
• Depth CNN
• Keypoint Detection
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https://github.com/katotetsuro/chainer-maskrcnn