Detail publikačního výsledku

Real-time Tracking of Participants in Meeting Video

HRADIŠ, M.; JURÁNEK, R.

Originální název

Real-time Tracking of Participants in Meeting Video

Anglický název

Real-time Tracking of Participants in Meeting Video

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

The aim of our work was to develop a robust real-time trackerof body parts in meeting videos. We have focused mainly on tracking heads inmeeting video data from the AMI project. The AMI project is concerned with thedevelopment of meeting browsers and remote meeting assistants for instrumentedmeeting rooms. Our system is intended to process video data acquired fromcamera online. This sets bounds in the terms of computational cost of usedalgorithms. Therefore we decided first to create a fast solution and analyzeits results in order to tell if further improvements are needed.

We havedivided tracking task into two separate parts. First skin color model, backgroundsubtraction and topological feature based object classification is used todetect heads in video. The detected objects are consequently tracked throughoutthe video sequence by using KLT feature based tracker. Tracking results arestored in the XML format for evaluation.

Anglický abstrakt

The aim of our work was to develop a robust real-time trackerof body parts in meeting videos. We have focused mainly on tracking heads inmeeting video data from the AMI project. The AMI project is concerned with thedevelopment of meeting browsers and remote meeting assistants for instrumentedmeeting rooms. Our system is intended to process video data acquired fromcamera online. This sets bounds in the terms of computational cost of usedalgorithms. Therefore we decided first to create a fast solution and analyzeits results in order to tell if further improvements are needed.

We havedivided tracking task into two separate parts. First skin color model, backgroundsubtraction and topological feature based object classification is used todetect heads in video. The detected objects are consequently tracked throughoutthe video sequence by using KLT feature based tracker. Tracking results arestored in the XML format for evaluation.

Klíčová slova

Tracking, Head detection, Skin color model, KLT tracker

Klíčová slova v angličtině

Tracking, Head detection, Skin color model, KLT tracker

Autoři

HRADIŠ, M.; JURÁNEK, R.

Vydáno

23.05.2006

Místo

Budměřice

Kniha

Proceedings of The 10th Central European Seminar on Computer Graphics

Strany od

89

Strany do

93

Strany počet

5

URL

http://www.fit.vutbr.cz/research/groups/graph/publi/2006/2006-Hradis-CESCG-HeadTracking.pdf

BibTex

@inproceedings{BUT28831,
  author="Michal {Hradiš} and Roman {Juránek}",
  title="Real-time Tracking of Participants in Meeting Video",
  booktitle="Proceedings of The 10th Central European Seminar on Computer Graphics",
  year="2006",
  pages="89--93",
  address="Budměřice",
  url="http://www.fit.vutbr.cz/research/groups/graph/publi/2006/2006-Hradis-CESCG-HeadTracking.pdf"
}