n-grams of Action Primitives for Recognizing Human Behavior

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F07%3A03134586" target="_blank" >RIV/68407700:21230/07:03134586 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
n-grams of Action Primitives for Recognizing Human Behavior
Original language description
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.
Czech name
n-grams of Action Primitives for Recognizing Human Behavior
Czech description
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.

Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
CAIP 2007: Proceedings of the 12th International Conference on Computer Analysis of Images and Patterns
ISBN
978-3-540-74271-5
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
93-100
Publisher name
Springer
Place of publication
Berlin
Event location
Vienna
Event date
Aug 27, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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