Action Tube Extraction Based 3D-CNN for RGB-D Action Recognition

• Published in: 2018 International Conference on Content Based Multimedia Indexing (CBMI) pp. 1 - 6
• Main Authors: Xu, Zineng, Vilaplana, Veronica, Morros, Josep Ramon
• Format: Conference Proceeding Publication
• Language: English
• Published: IEEE 01.09.2018; Institute of Electrical and Electronics Engineers (IEEE)
• Subjects: 3-D video (Three-dimensional imaging); 3D-CNN; action recognition; action tube extraction; action tube extraction extraction; CNN models; Computer architecture; Creació multimèdia; Data models; Digital techniques; Digital video; Electron tubes; Enginyeria de la telecomunicació; Image processing; Imatges; Indexes; indexing (of information); Processament; Processament de la imatge i del senyal vídeo; Processament del senyal; So, imatge i multimèdia; Solid modeling; spatial regions; state-of-the-art methods; structural similarity indices (SSIM); temporal sampling; Three-dimensional displays; Training; tubes (components); two-stream; Tècniques digitals; Visualització tridimensional (Informàtica); Vídeo digital; Àrees temàtiques de la UPC

In this paper we propose a novel action tube extractor for RGB-D action recognition in trimmed videos. The action tube extractor takes as input a video and outputs an action tube. The method consists of two parts: spatial tube extraction and temporal sampling. The first part is built upon MobileNet-...