Face segmentation and facial feature tracking for videophone applications

Kwok Wai Wong, Kin Man Lam, Wan Chi Siu, Kai Ming Tse

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 Citations (Scopus)

Abstract

In this paper, an efficient foreground/background video coding algorithm is proposed. The algorithm consists of three major parts: an automatic human face detection and facial feature extraction, facial feature tracking, and video coding method based on the properties of the facial feature. In the first part, the location of the human face and its respective facial features will be extracted by means pf genetic algorithm and eigenface techniques. After the face region and the facial features have been detected in the first frame, a fast and robust method is proposed for tracking the detected facial features on the subsequent frames. Finally, the location of the facial features will be passed to the encoding system for compression. As a result, both the subjective and the objective image quality of the face region are improved.
Original languageEnglish
Title of host publicationProceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
Pages518-521
Number of pages4
Publication statusPublished - 1 Dec 2001
Event2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001 - Hong Kong, Hong Kong
Duration: 2 May 20014 May 2001

Conference

Conference2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
CountryHong Kong
CityHong Kong
Period2/05/014/05/01

ASJC Scopus subject areas

  • Computer Science(all)

Cite this