Title :
Real Time Human Action Recognition Using Full and Ultra High Definition Video
Author :
Castro-Mu?oz; Mart?nez-Carballido
Author_Institution :
Dept. of Electron. Sci., Inst. Nac. de Astrofis. Opt. y Electron. Puebla, Puebla, Mexico
Abstract :
Given that camera products are moving rapidly towards Ultra High Definition in video surveillance area, this work presents a real-time human action recognition method based on simple and clear concepts which achieves a great Accuracy-Speed performance on videos up 8K Ultra High Definition. The method was evaluated on i3DPost dataset at different video resolutions. The comparative analysis shows that our method outperforms all state of the art methods, in accuracy (99%) and to the best of our knowledge, it is the first one that shows real-time performance on videos up 8K UHD.
Keywords :
"Streaming media","Feature extraction","High definition video","Real-time systems","Support vector machines","Cameras","Knee"
Conference_Titel :
Computational Science and Computational Intelligence (CSCI), 2015 International Conference on
DOI :
10.1109/CSCI.2015.12
