Recognition of Human Action Using Moment-Based Features

  title={Recognition of Human Action Using Moment-Based Features},
  author={R{\'o}mer Rosales},
The performanceof different classificationapproachesis evaluatedusing a view-basedapproach for motionrepresentation. The view-basedapproach uses computervisionandimageprocessingtechniquesto registerandprocessthevideo sequence[6, 23]. Two motionrepresentationscalledMotion Energy Imagesand Motion History Images[6] are thenconstructed.Theserepresentationscollapse the temporal component in a way that no explicit temporal analysisor sequence matching is needed. Statisticaldescriptionsare then… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 20 references

Improvedtracking of multiple humanswith trajectorypredictionand occlusionmodeling.In CVPRWorkshopontheInterpretationof VisualMotion

R. Rosalesand S. Sclarof
View 5 Excerpts
Highly Influenced

The representationandrecognitionof humanmovementusingtemporal templates.In

J. Davis andA.F. Bobick
View 20 Excerpts
Highly Influenced

Breeding,andR. McGhee. Aircraft identificationby momentinvariants

K. S. Dudani
Trans. on Computers, • 1977
View 3 Excerpts
Highly Influenced

PatternClassificationandScenceAnalysis. JohnWiley andSons,1977

R. DudaandP. Hart
View 3 Excerpts
Highly Influenced

Learningandrecognizinghumandynamicsin videosequences

C. Bregler
In CVPR97, • 1997
View 1 Excerpt

An appearance-ba sedrepresentationof action

A. BobickandJDavis
In ICPR, • 1996
View 1 Excerpt

Darrell,andA. Pentland.Pfinder:Realtimetrackingof thehumanbody

C. Wren, T. A. Azarbayejani
TechnicalReportTR 353,MIT MediaLab,1996 • 1996
View 1 Excerpt

Recognitionof humanbodymotionusingphasespaceconstraints

L. W. CampbellandA.F. Bobick
In ICCV, • 1995
View 2 Excerpts

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