Deep Convolutional Neural Networks for Human Action Recognition Using Depth Maps and Postures.
Aouaidjia KamelBin ShengPo YangPing LiRuimin ShenDavid Dagan FengPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2019)
Keyphrases
- depth map
- convolutional neural networks
- multi view
- depth information
- convolutional network
- d scene
- three dimensional
- stereo matching
- high quality
- human body
- image sequences
- view synthesis
- input image
- intermediate views
- depth estimation
- depth data
- real scenes
- stereo pair
- multi view stereo
- time of flight
- temporally consistent
- multibaseline stereo
- high resolution
- stereo vision
- low resolution
- depth cameras
- input data
- gesture recognition
- depth images
- stereoscopic images
- super resolution
- object recognition
- computer vision