RGB-Depth feature for 3D human activity recognition

By Zhao Yang, Zicheng Liu, Cheng Hong. 2013

37 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Human-Computer Interaction

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Yang Zhao
2. Runlin Zhao

In Computer Vision and Pattern Recognition

1. Yang Zhao
2. Runlin Zhao

In Human-Computer Interaction

1. Yang Zhao
2. Runlin Zhao

Citations in the corpus

• Depth Induced Feature Representation for 4D Human Activity Recognition (2014, background): “Microsoft Kinect [30]) has drawn much attention on human activity recognition from RGBD data [30], [26], [18], [33], [35], [41], [43], [42].”