Joint Human Detection and Head Pose Estimation via Multistream Networks for RGB-D Videos

By Guyue Zhang, Jun Liu, Hengduo Li, Yan Qiu Chen, Larry S. Davis. 2017

54 citations recorded by the source corpus.

Subfields: 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 Computer Vision and Pattern Recognition

1. Jun Liu
2. Alex ChiChung Kot
3. G. Wang
4. Ling-yu Duan
5. Amir Shahroudy
6. Hossein Rahmani
7. Kamila Abdiyeva
8. Qiuhong Ke

In Human-Computer Interaction

1. Jun Liu
2. Alex ChiChung Kot
3. Ling-yu Duan
4. Amir Shahroudy
5. G. Wang

Citations in the corpus

• Skeleton-Based Human Action Recognition With Global Context-Aware Attention LSTM Networks (2017, background): “range of applications, such as video surveillance, patient monitoring, robotics, human-machine interaction, etc [1], [2], [3]. With the development of depth sensors, such as RealSense and Kinect [4], [5], [6], 3D skeleton based human action recognition has received much attention, and a lot of advan”
• SSNet: Scale Selection Network for Online 3D Action Prediction (2018, background): “With such a design, the perception window scale of the top layer in our network is 255 frames, which covers more than 8-second sequence at the frame rate of common video cameras like Kinect.”