Workshop on Motion and Video Computing (MOTION 2002) : 5-6 December, 2002, Orlando, Florida : proceedings by IEEE Workshop on Motion and Video Computing (2002 Orlando, Fla.)

Cover of: Workshop on Motion and Video Computing | IEEE Workshop on Motion and Video Computing (2002 Orlando, Fla.)

Published by IEEE Computer Society in Los Alamitos, Calif .

Written in English

Read online

Subjects:

  • Computer vision -- Congresses.,
  • Image processing -- Congresses.,
  • Motion perception (Vision) -- Data processing -- Congresses.

Edition Notes

Book details

Other titlesIEEE Workshop on Motion and Video Computing :, 2002 IEEE Workshop on Motion and Video Computing, MOTION 2002, Motion and video computing
Statementsponsored by IEEE Computer Society.
GenreCongresses.
ContributionsIEEE Computer Society.
Classifications
LC ClassificationsTA1634 .I32 2002
The Physical Object
Paginationix, 257 p. :
Number of Pages257
ID Numbers
Open LibraryOL3575327M
ISBN 100769518605
LC Control Number2002114147

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IEEE Workshop on Motion and Video Computing, Jan. Periodic Motion Detection and Estimation via Space-Time Sampling Ashwin Thangali and Stan Sclaroff ∗ Computer Science Department Boston University, Boston, MA email: {tvashwin,sclaroff}@ Abstract A novel technique to detect and localize periodic Publication: MOTION ' Proceedings of the Workshop on Motion and Video Computing December 0 citation; 0; Downloads.

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Workshop on Motion and Video Computing: (MOTION ): proceedings: DecemberOrlando, Florida. [IEEE Computer Society.;] MOTION ' Proceedings of the Workshop on Motion and Video Computing A Hierarchical Approach to Robust Background Subtraction using Color and Gradient Information.

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Rocznik. Tom. Strony. 58 - 65 Opis fizyczny. Daty. utworzono. Twórcy. autor Migdal. Massachusetts Institute of Technology, Cambridge, Massachusetts autor IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 Wydawca IEEE YADDA Redakcja, Instytucje i osoby, Zmiany tytułów Redakcja Instytucje i osoby   What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets.

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