Primitive Based Action Representation and Recognition

Sanmohan Baby, Volker Krüger

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7 Citationer (Scopus)

Abstrakt

There has been a recent interest in segmenting action sequences into
  meaningful parts (action primitives) and to model actions on a
  higher level based on these action primitives. Unlike previous works where action primitives are defined
   a-priori and search is made for them later, we present a sequential and statistical
    learning algorithm for
  automatic detection of the action primitives and the action grammar
  based on these primitives.  We model a set of actions using a
  single HMM whose structure is learned incrementally as we observe
  new types.   Actions are modeled with sufficient number of Gaussians which would
  become the states of an HMM for an action. For different actions we
  find the states that are common in the actions which are then treated
  as an action primitive.
OriginalsprogEngelsk
BogserieLecture Notes in Computer Science
Sider (fra-til)31-40
Antal sider10
ISSN0302-9743
DOI
StatusUdgivet - 2009
BegivenhedSCIA 2009 - Oslo, Norge
Varighed: 15 jun. 200918 jun. 2009
Konferencens nummer: 16

Konference

KonferenceSCIA 2009
Nummer16
Land/OmrådeNorge
ByOslo
Periode15/06/200918/06/2009

Bibliografisk note

Titel:
Image Analysis

Undertitel:
16th Scandinavian Conference, SCIA 2009Oslo, Norway, June 15-18, 2009Proceedings

Oversat titel:


Oversat undertitel:


Forlag:
Springer

ISBN (Trykt):
9783642022296

ISBN (Elektronisk):


Publikationsserier:
Lecture Notes in Computer Science, 0302-9743, 1611-3349, 5575

Redaktører:
Arnt-Børre Salberg
Jon Yngve Hardeberg
Robert Jenssen

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