Amanote Research

Amanote Research

    RegisterSign In

Action Recognition and Understanding Using Motor Primitives

doi 10.1109/roman.2007.4415247
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2007

Authors
Ville KyrkiIsabel Serrano VicenteDanica KragicJan-Olof Eklundh
Publisher

IEEE


Related search

Definition and Composition of Motor Primitives Using Latent Force Models and Hidden Markov Models

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2017English

Reinforcement Learning for Parameterized Motor Primitives

2006English

Discovery and Recognition of Motion Primitives in Human Activities

PLoS ONE
Multidisciplinary
2019English

Motor Cognition and Its Role in the Phylogeny and Ontogeny of Action Understanding.

Developmental Psychology
Life-course StudiesDevelopmentalLife-spanEducational PsychologyDemography
2009English

Action Recognition Using Mined Hierarchical Compound Features

IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern RecognitionApplied MathematicsComputer VisionMathematicsComputational TheoryArtificial IntelligenceSoftware
2011English

Human Action Recognition Using Pyramid Vocabulary Tree

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2010English

Human Action Recognition Using Dimensionality Reduction and Support Vector Machine

CEUR Workshop Proceedings
Computer Science
2019English

Understanding Antibacterial Action and Resistance

Choice Reviews Online
1991English

Spoken Language Recognition and Understanding

1993English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy