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Spatio-temporal motion segmentation and tracking under realistic condition

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Tracking technique is one of the most active research topics in the domain of computer vision currently, and motion analysis presents the essence of moving object tracking in video. This paper proposed a novel method for tracking based on spatio-temporal motion segmentation. First, successively layered moving object silhouettes encode system time termed the timed Motion History Image for motion trajectory representation. Then, a spatio-temporal segmentation procedure is used to labeling motion regions by estimating density gradient in spatial-temporal domain. Several examples are shown to illustrate that this solution has high effectiveness and robust nature, providing practical tools for moving object tracking in real time surveillance system.

Original languageEnglish
Title of host publication1st International Symposium on Systems and Control in Aerospace and Astronautics
Pages229-232
Number of pages4
StatePublished - 2006
Event1st International Symposium on Systems and Control in Aerospace and Astronautics - Harbin, China
Duration: 19 Jan 200621 Jan 2006

Publication series

Name1st International Symposium on Systems and Control in Aerospace and Astronautics
Volume2006

Conference

Conference1st International Symposium on Systems and Control in Aerospace and Astronautics
Country/TerritoryChina
CityHarbin
Period19/01/0621/01/06

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