A Rejection-Based Method for Event Detection in Video

Research output: Contribution to journalArticlepeer-review


This paper offers a natural extension of the newly introduced "anti-face" method to event detection, in both the gray-level and feature domains. For the gray-level domain, spatio-temporal templates are created by stacking the individual frames of the video sequence, and the detection is performed on these templates. In order to recognize the motion of features in a video sequence, the spatial locations of the features are modulated in time, thus creating a one-dimensional vector which represents the event in the detection process. The following applications are presented: 1) detection of an object under three-dimensional (3-D) rotations in a video sequence simulated from the COIL database; 2) visual recognition of spoken words; and 3) recognition of two-dimensional and 3-D sketched curves. The technique is capable of detecting 3-D curves in viewing directions which substantially differ from those in the training set. The resulting detection algorithm is very fast and can successfully detect events even in very low resolution. Also, it is capable of discriminating the desired event from arbitrary events, and not only from those in a negative training set. Possible applications of the techniques offered in this paper are in man-machine interaction, surveillance, and search and summarization in video databases.

Original languageEnglish
Pages (from-to)534-541
Number of pages8
JournalIEEE Transactions on Circuits and Systems for Video Technology
Issue number4
StatePublished - Apr 2004

Bibliographical note

Funding Information:
Manuscript received February 7, 2002; revised July 15, 2003. This work was supported by the Israeli Ministry of Scienceunder Grant 1229. This paper was recommended by Associate Editor Q. Tian. The authors are with the Department of Computer Science, University of Haifa, Haifa 31905, Israel (e-mail: [email protected]; [email protected]). Digital Object Identifier 10.1109/TCSVT.2004.825530


  • Event detection
  • Rejectors
  • Visual speech recognition

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering


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