Based on the codeword net, features from the same viewpoint are pooled together. Experiments on two large scale action recognition datasets, UCF50 and HMDB51, ...
Based on the codeword net, features from the same viewpoint are pooled together. Experiments on two large scale action recognition datasets, UCF50 and HMDB51, ...
Based on the codeword net, features from the same viewpoint are pooled together. Experiments on two large scale action recognition datasets, UCF50 and HMDB51, ...
Multi-view descriptor mining via codeword net for action recognition ... network model has a higher recognition accuracy in human action recognition. View.
Multi-view descriptor mining via codeword net for action recognition. J Liu, Y Huang, X Peng, L Wang. 2015 IEEE International Conference on Image Processing ...
... Multi-view Descriptor Mining via Codeword Net for Action Recognition,” Proc. IEEE International Conference on Image Processing, pp. 793-797, September 2015 ...
The main goal is to construct an effective network recognition framework ... Multi-view descriptor mining via codeword net for action recognition. In ...
Xiaojiang PENG | Idiap Research Institute, Martigny-Ville
www.researchgate.net › profile › Xiaojia...
We propose a multi-region two-stream R-CNN model for action detection in realistic videos. We start from frame-level action detection based on faster R-CNN, ...
Mar 28, 2024 · We introduce HyperMV, a multi-view event-based action recognition framework. HyperMV converts discrete event data into frame-like representations.
Missing: descriptor mining codeword
Jun 8, 2016 · In this study, a new multi-view human action recognition approach is proposed by exploiting low-dimensional motion information of actions.
Missing: codeword net