Improved graphical model for audiovisual object tracking

Hao Tang, Thomas S. Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Object tracking plays an important role in multimedia surveillance systems, in which the major types of data are video and audio captured by cameras and microphone arrays. In this paper, we describe a systematic approach to audiovisual object tracking, originally proposed by Beal et al, based on graphical models that jointly combine audio and video variables under a single probabilistic framework. We seek to improve this approach through three aspects: First, we introduce background subtraction preprocessing of video data. Second, we modify the video model to exclude the background from being transformed. Third, we extend the joint model to a dynamic Bayes net. These improvements yield satisfactory results on single person tracking in a noisy outdoor environment with far-field background road traffic, and handle situations where the target is lost due to occlusions.

Original languageEnglish (US)
Title of host publication2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
Pages997-1000
Number of pages4
DOIs
StatePublished - Dec 1 2006
Event2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Toronto, ON, Canada
Duration: Jul 9 2006Jul 12 2006

Publication series

Name2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
Volume2006

Other

Other2006 IEEE International Conference on Multimedia and Expo, ICME 2006
CountryCanada
CityToronto, ON
Period7/9/067/12/06

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering

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  • Cite this

    Tang, H., & Huang, T. S. (2006). Improved graphical model for audiovisual object tracking. In 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings (pp. 997-1000). [4036770] (2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings; Vol. 2006). https://doi.org/10.1109/ICME.2006.262701