Learning Action Images Using Deep Convolutional Neural Networks For 3D Action Recognition

• Published in: 2019 IEEE Sensors Applications Symposium (SAS) pp. 1 - 6
• Main Authors: Huynh-The, Thien, Hua, Cam-Hao, Kim, Dong-Seong
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.03.2019
• Subjects: Color; deep convolutional neural networks; Feature extraction; human action recognition; Image coding; Image color analysis; Image recognition; Pose feature to image encoding technique; Skeleton; Three-dimensional displays

Recently, 3D action recognition has received more attention of research and industrial communities thanks to the popularity of depth sensors and the efficiency of skeleton estimation algorithms. Accordingly, a large number of methods have been studied by using either handcrafted features with tradit...