An intelligent bulletin board system with real-time vision-based interaction using head pose estimation

Cheng Yu Chang, Pau-Choo Chung, Yu Sheng Yeh, Jar-Ferr Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A bulletin board is a place where people can read announcements, posters or leave public messages. However, traditional bulletin board certainly have several disadvantages such like without real-time interaction with users and monotonous. This paper presents an intelligent bulletin board system (iBBS), which allows a user to real-time interact with it without any additional auxiliaries. At first, a real-time front-view face detection using Harr-like features is used to decide when iBBS should wake up and become interactive with the user. After system initialization, we keep on finding some feature points within the detected face area. Then we estimate the orientation of user's head via pyramidal Lucas-Kanade optical flow tracking. Compared to the traditional bulletin board system, our system has more flexibility. With the comparison to other non-vision-based input devices such like gloves or markers, our system offers a simple, useful and economical solution for the real-time interaction between the user and computer.

Original languageEnglish
Title of host publicationProceedings - 18th International Conference on Pattern Recognition, ICPR 2006
Pages1140-1143
Number of pages4
DOIs
Publication statusPublished - 2006 Dec 1
Event18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, China
Duration: 2006 Aug 202006 Aug 24

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume1
ISSN (Print)1051-4651

Other

Other18th International Conference on Pattern Recognition, ICPR 2006
CountryChina
CityHong Kong
Period06-08-2006-08-24

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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