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  • This paper presents a novel approach for behavior recognition from video data. A biologically inspired action representation is derived by applying a clustering algorithm to sequences of motion images. To obey the temporal context, we express behaviors as sequences of n-grams of basic actions. Novel video sequences are classified by comparing histograms of action n-grams to stored histograms of known behaviors. Experimental validation shows a high accuracy in behavior recognition.
  • This paper presents a novel approach for behavior recognition from video data. A biologically inspired action representation is derived by applying a clustering algorithm to sequences of motion images. To obey the temporal context, we express behaviors as sequences of n-grams of basic actions. Novel video sequences are classified by comparing histograms of action n-grams to stored histograms of known behaviors. Experimental validation shows a high accuracy in behavior recognition. (en)
  • This paper presents a novel approach for behavior recognition from video data. A biologically inspired action representation is derived by applying a clustering algorithm to sequences of motion images. To obey the temporal context, we express behaviors as sequences of n-grams of basic actions. Novel video sequences are classified by comparing histograms of action n-grams to stored histograms of known behaviors. Experimental validation shows a high accuracy in behavior recognition. (cs)
Title
  • n-grams of Action Primitives for Recognizing Human Behavior
  • n-grams of Action Primitives for Recognizing Human Behavior (en)
  • n-grams of Action Primitives for Recognizing Human Behavior (cs)
skos:prefLabel
  • n-grams of Action Primitives for Recognizing Human Behavior
  • n-grams of Action Primitives for Recognizing Human Behavior (en)
  • n-grams of Action Primitives for Recognizing Human Behavior (cs)
skos:notation
  • RIV/68407700:21230/07:03134586!RIV08-MSM-21230___
http://linked.open.../vavai/riv/strany
  • 93;100
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770038)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 437326
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/07:03134586
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • behavior recognition; motion; sequence analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [0B9B75CED0EA]
http://linked.open...v/mistoKonaniAkce
  • Vienna
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • CAIP 2007: Proceedings of the 12th International Conference on Computer Analysis of Images and Patterns
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Hlaváč, Václav
  • Thurau, Christian
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-540-74271-5
http://localhost/t...ganizacniJednotka
  • 21230
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