Temporal pattern recognition in video clips detection

A. Zheng, J. Ma, B. Luo, Miltiadis Petridis, S. Zhai, J. Tang

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNpeer-review

Abstract

Temporal representation and reasoning plays an important role in data mining and knowledge discovery, particularly, in mining and recognizing patterns with rich temporal information. Based on a formal characterization of time-series and state-sequences, this paper presents the computational technique and algorithm for matching state-based temporal patterns. As a case study of real-life applications, zone-defense pattern recognition in basketball games is specially examined as an illustrating example. Experimental results demonstrate that it provides a formal and comprehensive temporal ontology for research and applications in video events detection.
Original languageEnglish
Title of host publication8th IEEE/ACIS International Conference on Computer and Information Science
PublisherIEEE
Pages416-421
Number of pages6
ISBN (Print)9780769536415
DOIs
Publication statusPublished - 2009
Event8th IEEE/ACIS International Conference on Computer and Information Science - Shanghai, 1-3 June, 2009
Duration: 1 Jan 2009 → …

Conference

Conference8th IEEE/ACIS International Conference on Computer and Information Science
Period1/01/09 → …

Keywords

  • algorithm
  • basketball zone-defense
  • temporal pattern recognition

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