Publication detail

Tracking movement objects in sequence pictures

POTÚČEK, I.

Original Title

Tracking movement objects in sequence pictures

English Title

Tracking movement objects in sequence pictures

Type

journal article - other

Language

en

Original Abstract

The aim of my work was determine trajectory of moving simple objects - tokens in picture sequence. I used modified Kalman filter to predict and identify the trajectory of moving objects in sequence of 2D image. Presented approach resolves trajectory ambiguities, a case when a number of tokens are large and their speeds and accelerations vary. Correspondence problem is determined between two or more consecutive frames based on tokens similarity. Tracked objects may vanish, appear at a new position and/or mutually occlude each other. Backtracking is used to solve these problems.

English abstract

The aim of my work was determine trajectory of moving simple objects - tokens in picture sequence. I used modified Kalman filter to predict and identify the trajectory of moving objects in sequence of 2D image. Presented approach resolves trajectory ambiguities, a case when a number of tokens are large and their speeds and accelerations vary. Correspondence problem is determined between two or more consecutive frames based on tokens similarity. Tracked objects may vanish, appear at a new position and/or mutually occlude each other. Backtracking is used to solve these problems.

Keywords

Trajectory Identification, Target Tracking, Kalman Filter, Movement Prediction, Motion Correspondence Problem, Prediction Trees, Backtracking, Continuity, Picture Segmentation.

RIV year

2003

Released

21.01.2003

ISBN

1213-161X

Periodical

ElectronicsLetters.com - http://www.electronicsletters.com

Year of study

2003

Number

2

State

CZ

Pages from

1

Pages to

15

Pages count

10

URL

Documents

BibTex


@article{BUT41994,
  author="Igor {Potúček}",
  title="Tracking movement objects in sequence pictures",
  annote="The aim of my work was determine trajectory of moving simple objects - tokens in picture sequence. I used modified Kalman filter to predict and identify the trajectory of moving objects in sequence of 2D image. Presented approach resolves trajectory ambiguities, a case when a number of tokens are large and their speeds and accelerations vary. Correspondence problem is determined between two or more consecutive frames based on tokens similarity. Tracked objects may vanish, appear at a new position and/or mutually occlude each other. Backtracking is used to solve these problems.",
  chapter="41994",
  journal="ElectronicsLetters.com - http://www.electronicsletters.com",
  number="2",
  volume="2003",
  year="2003",
  month="january",
  pages="1--15",
  type="journal article - other"
}