Amanote Research
Register
Sign In
Feature Seeding for Action Recognition
doi 10.1109/iccv.2011.6126435
Full Text
Open PDF
Abstract
Available in
full text
Date
November 1, 2011
Authors
Pyry Matikainen
Rahul Sukthankar
Martial Hebert
Publisher
IEEE
Related search
Feature Tracking and Motion Compensation for Action Recognition
Dense Saliency-Based Spatiotemporal Feature Points for Action Recognition
View-Invariant Feature Representation for Action Recognition Under Multiple Views
International Journal of Intelligent Engineering and Systems
Engineering
Computer Science
Action Recognition by Joint Spatial-Temporal Motion Feature
Journal of Applied Mathematics
Applied Mathematics
Cross-View Action Recognition Over Heterogeneous Feature Spaces
Representation for Action Recognition Using Trajectory-Based Low-Level Local Feature and Mid-Level Motion Feature
Applied Computational Intelligence and Soft Computing
Civil
Computer Networks
Structural Engineering
Communications
Computer Science Applications
Computational Mechanics
Artificial Intelligence
Human Action Recognition Using Rule Based Fuzzy Motion Feature Templates
International Journal of Innovative Technology and Exploring Engineering
Mechanics of Materials
Electronic Engineering
Civil
Structural Engineering
Electrical
Computer Science
Feature Activation During Word Recognition: Action, Visual, and Associative-Semantic Priming Effects
Frontiers in Psychology
Psychology
Genetic Feature Selection for Gait Recognition
Journal of Electronic Imaging
Electronic Engineering
Molecular Physics,
Computer Science Applications
Electrical
Atomic
Optics
