Publication detail

Participant activity detection by hands and face movement tracking in the meeting room

POTÚČEK, I., SUMEC, S., ŠPANĚL, M.

Original Title

Participant activity detection by hands and face movement tracking in the meeting room

English Title

Participant activity detection by hands and face movement tracking in the meeting room

Type

conference paper

Language

en

Original Abstract

This paper presents a collection of methods for an evaluation of participants' activity in the meeting. The techniques of skin color detection, segmentation, feature extraction, and tracking detected objects and their identification are included. Our aim is to extract information from participant hands and face movement suitable for intelligent video editing and as additional information for speech recognition.

English abstract

This paper presents a collection of methods for an evaluation of participants' activity in the meeting. The techniques of skin color detection, segmentation, feature extraction, and tracking detected objects and their identification are included. Our aim is to extract information from participant hands and face movement suitable for intelligent video editing and as additional information for speech recognition.

Keywords

computer vision, skin detection, object tracking, Gabor wavellet networks, face recognition, object labeling, activity evaluation

RIV year

2004

Released

16.06.2004

Publisher

IEEE Computer Society

Location

Los Alamitos

ISBN

0-7695-2717-1

Book

2004 Computer Graphics International (CGI 2004)

Pages from

632

Pages to

635

Pages count

4

URL

Documents

BibTex


@inproceedings{BUT16931,
  author="Igor {Potúček} and Stanislav {Sumec} and Michal {Španěl}",
  title="Participant activity detection by hands and face movement tracking in the meeting room",
  annote="This paper presents a collection of methods for an evaluation of participants' activity in the meeting. The techniques of skin color detection, segmentation, feature extraction, and tracking detected objects and their identification are included. Our aim is to extract information from participant hands and face movement suitable for intelligent video editing and as additional information for speech recognition.",
  address="IEEE Computer Society",
  booktitle="2004 Computer Graphics International (CGI 2004)",
  chapter="16931",
  institution="IEEE Computer Society",
  year="2004",
  month="june",
  pages="632--635",
  publisher="IEEE Computer Society",
  type="conference paper"
}