Two Video Analysis Applications Using Foreground/Background Segmentation

Z. Zivkovic, M. Petkovic, R. van Mierlo, Maurice van Keulen, Ferdinand van der Heijden, Willem Jonker, E. Rijnierse

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Abstract

Probably the most frequently solved problem when videos are analyzed is segmenting a foreground object from its background in an image. After some regions in an image are detected as the foreground objects, some features are extracted that describe the segmented regions. These features together with the domain knowledge are often enough to extract the needed high-level semantics from the video material. In this paper we present two automatic systems for video analysis and indexing. In both systems the segmentation of the foreground objects is the basic processing step. The extracted features are then used to solve the problem. One system analyses traffic videos, the other tennis games.
Original languageUndefined
Title of host publicationProceedings of the VIE2003 Conference on Visual Information Engineering
Place of PublicationLos Alamitos
PublisherIEEE Computer Society
Pages310-313
Number of pages4
ISBN (Print)0-85296-757-8
Publication statusPublished - Jul 2003

Publication series

NameIEEE Conference Proceedings
PublisherIEEE Computer Society
Volume495
ISSN (Print)0537-9989

Keywords

  • IR-46153
  • EWI-7384
  • DB-MMR: MULTIMEDIA RETRIEVAL
  • METIS-214156

Cite this

Zivkovic, Z., Petkovic, M., van Mierlo, R., van Keulen, M., van der Heijden, F., Jonker, W., & Rijnierse, E. (2003). Two Video Analysis Applications Using Foreground/Background Segmentation. In Proceedings of the VIE2003 Conference on Visual Information Engineering (pp. 310-313). (IEEE Conference Proceedings; Vol. 495). Los Alamitos: IEEE Computer Society.