吴彤的博客

记录学习的点滴进步

0%

action recognition 实现方式总结

  1. 早期尝试
    Large-scale Video Classification with Convolutional Neural Networks(2014)

GitHub:https://cs.stanford.edu/people/karpathy/deepvideo/

2DCNN, 能不能自动的捕捉运动信息?

  • single frame

  • stacked frames

  1. 双流法
    Two-Stream Convolutional Networks for Action Recognition in Videos(2014)
    双流架构:

    • 空域网络(spatial networks) 执行物体识别

    • 时域网络(temporal networks) 识别运动信息

TSN: Temporal Segment Networks: Towards Good Practices for Deep Action Recognition(2016)

  1. (光流的作用)
    On the Integration of Optical Flow and Action Recognition(2017) (2018CVPR)

  2. C3D
    Learning Spatiotemporal Features with 3D Convolutional Networks(2015)

  3. I3D(Two-Stream Inflated 3D ConvNet)
    Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

action recognition论文汇总