Target tracking and positioning on video sequence from a moving video camera

Chi Farn Chen, Min Hsin Chen

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

2 Scopus citations

Abstract

Video images have long been used in tracking a target. Most of these studies have focused on tracking the moving target with a motionless video camera. Yet, relatively few studies have been conducted on target tracking from a moving video camera. In addition, the tracking of a moving target from one single video camera is inherently unable to provide the positioning information of the target in real space. This study proposes a three-stage approach with the concept of segmentation and photogrammetry to track and position the target on the video sequence acquired from a moving video camera. In the first stage, both the color segmentation technique and ACM (Active Contour Model) are used to separate the target from the background. In the second stage, an area-based matching approach is employed to track the feature points of the target on the video sequence. In the final stage, by integrating the video camera, GPS, digital compass and tracking results, the ground position of the target can be calculated using the photogrammetric techniques.

Original languageEnglish
Title of host publicationAdvances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings
PublisherSpringer Verlag
Pages523-533
Number of pages11
ISBN (Print)354068297X, 9783540682974
DOIs
StatePublished - 2006
Event1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006 - Hsinchu, Taiwan
Duration: 10 Dec 200613 Dec 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4319 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006
Country/TerritoryTaiwan
CityHsinchu
Period10/12/0613/12/06

Keywords

  • Moving video camera
  • Object positioning
  • Object tracking

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