Rahman et al., 2012
ViewPDF| Publication | Publication Date | Title |
|---|---|---|
| Jiang et al. | Multi-layered gesture recognition with Kinect. | |
| Chou et al. | Robust feature-based automated multi-view human action recognition system | |
| Ahad | Computer vision and action recognition: A guide for image processing and computer vision community for action understanding | |
| Ahmad et al. | Human action recognition using shape and CLG-motion flow from multi-view image sequences | |
| US7308112B2 (en) | Sign based human-machine interaction | |
| Rahman et al. | Fast action recognition using negative space features | |
| Liang et al. | A survey on human action recognition using depth sensors | |
| He et al. | Counting and exploring sizes of Markov equivalence classes of directed acyclic graphs | |
| Rahman et al. | Recognising human actions by analysing negative spaces | |
| Siddiqui et al. | Human action recognition: a construction of codebook by discriminative features selection approach | |
| Stathopoulou et al. | Appearance-based face detection with artificial neural networks | |
| Ni et al. | Integrating multi-stage depth-induced contextual information for human action recognition and localization | |
| Wahid et al. | Advanced human pose estimation and event classification using context-aware features and XGBoost classifier | |
| Liang et al. | Three dimensional motion trail model for gesture recognition | |
| Gościewska et al. | Silhouette-based action recognition using simple shape descriptors | |
| Krisandria et al. | Hog-based hand gesture recognition using Kinect | |
| Abid et al. | Dynamic hand gesture recognition from Bag-of-Features and local part model | |
| Nayak et al. | A versatile online system for person-specific facial expression recognition | |
| Rahman et al. | Negative space template: A novel feature to describe activities in video | |
| Göçmen et al. | Polygonized Silhouettes and Polygon Coding Based Feature Representation for Human Action Recognition | |
| Liang et al. | Spatio-temporal pyramid cuboid matching for action recognition using depth maps | |
| Lei et al. | Holoscopic 3D micro-gesture recognition based on fast preprocessing and deep learning techniques | |
| Amrutha et al. | Bharatanatyam hand gesture recognition using normalized chain codes and oriented distances | |
| Moreira et al. | Fast and accurate gesture recognition based on motion shapes | |
| Poppe | Discriminative vision-based recovery and recognition of human motion. |