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Recognition of high-level group activities based on activities of individual members

  • University of Texas at Austin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

33 Scopus citations

Abstract

The paper describes a methodology for the recognition of high-level group activities. Our system recognizes group activities including group actions, group-persons interactions, group-group (i.e. inter-group) interactions, intra-group interactions, and their combinations described using a common representation scheme. Our approach is to represent various types of complex group activities with a programming language-like representation, and then to recognize represented activities based on the recognition of activities of individual group members. A hierarchical recognition algorithm is designed for the recognition of high-level group activities. The system was tested to recognize activities such as 'two groups fighting', 'a group of thieves stealing an object from another group', and 'a group of policemen arresting a group of criminals (or a criminal)'. Videos downloaded from YouTube as well as videos that we have taken are tested. Experimental results shows that our system recognizes complicated group activities, and it does it more reliably and accurately compared to previous approaches.

Original languageEnglish
Title of host publication2008 IEEE Workshop on Motion and Video Computing, WMVC
DOIs
StatePublished - 2008
Event2008 IEEE Workshop on Motion and Video Computing, WMVC - Copper Mountain, CO, United States
Duration: Jan 8 2008Jan 9 2008

Publication series

Name2008 IEEE Workshop on Motion and Video Computing, WMVC

Conference

Conference2008 IEEE Workshop on Motion and Video Computing, WMVC
Country/TerritoryUnited States
CityCopper Mountain, CO
Period01/8/0801/9/08

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