Publication detail

Person Tracking Using Omnidirectional View

POTÚČEK, I.

Original Title

Person Tracking Using Omnidirectional View

English Title

Person Tracking Using Omnidirectional View

Type

conference paper

Language

en

Original Abstract

This paper presents an approach for tracking parts of human body. A color detection method used is suitable for recognition of hands and heads. Kalman filter provides prediction and identification of trajectory of moving objects in sequence. Presented system will serve for human tracking and gesture recognition.

English abstract

This paper presents an approach for tracking parts of human body. A color detection method used is suitable for recognition of hands and heads. Kalman filter provides prediction and identification of trajectory of moving objects in sequence. Presented system will serve for human tracking and gesture recognition.

Keywords

tracking, skin detection, omnidirectional view

RIV year

2004

Released

06.05.2003

Publisher

Brno University of Technology

Location

Brno

ISBN

80-214-2379-X

Book

Proceedings of the 9th conference STUDENT EEICT 2003

Pages from

603

Pages to

607

Pages count

5

Documents

BibTex


@inproceedings{BUT10932,
  author="Igor {Potúček}",
  title="Person Tracking Using Omnidirectional View",
  annote="This paper presents an approach for tracking parts of human body. A color detection method used is suitable for recognition of hands and heads. Kalman filter provides prediction and identification of trajectory of moving objects in sequence. Presented system will serve for human tracking and gesture recognition.",
  address="Brno University of Technology",
  booktitle="Proceedings of the 9th conference STUDENT EEICT 2003",
  chapter="10932",
  institution="Brno University of Technology",
  journal="Vědecký sborník",
  number="9",
  year="2003",
  month="may",
  pages="603--607",
  publisher="Brno University of Technology",
  type="conference paper"
}