19 search results - page 2 / 4 » Dense saliency-based spatiotemporal feature points for actio... |
ICCV
2007
IEEE
14 years 8 months ago
2007
IEEE
We present a biologically-motivated system for the recognition of actions from video sequences. The approach builds on recent work on object recognition based on hierarchical feed...
BMVC
2010
13 years 5 months ago
2010
In interest point based human action recognition, local descriptors are used to represent information in the neighbourhood around each extracted space-time interest point. The per...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
In this paper, a novel feature for capturing information in a spatio-temporal volume based on regularity flow is presented for action recognition. The regularity flow describes ...
CVPR
2010
IEEE
2010
IEEE
Learning a Hierarchy of Discriminative Space-Time Neighborhood Features for Human Action Recognition
14 years 3 months ago
Recent work shows how to use local spatio-temporal features to learn models of realistic human actions from video. However, existing methods typically rely on a predefined spatial...
ICPR
2010
IEEE
14 years 16 days ago
2010
IEEE
Existing action recognition approaches mainly rely on the discriminative power of individual local descriptors extracted from spatio-temporal interest points (STIP), while the geo...