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 language | English |
|---|---|
| Title of host publication | Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006 |
| Pages | 1140-1143 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2006 Dec 1 |
| Event | 18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, China Duration: 2006 Aug 20 → 2006 Aug 24 |
Publication series
| Name | Proceedings - International Conference on Pattern Recognition |
|---|---|
| Volume | 1 |
| ISSN (Print) | 1051-4651 |
Other
| Other | 18th International Conference on Pattern Recognition, ICPR 2006 |
|---|---|
| Country | China |
| City | Hong Kong |
| Period | 06-08-20 → 06-08-24 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
Cite this
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An intelligent bulletin board system with real-time vision-based interaction using head pose estimation. / Chang, Cheng Yu; Chung, Pau-Choo; Yeh, Yu Sheng; Yang, Jar-Ferr.
Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006. 2006. p. 1140-1143 1699091 (Proceedings - International Conference on Pattern Recognition; Vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - An intelligent bulletin board system with real-time vision-based interaction using head pose estimation
AU - Chang, Cheng Yu
AU - Chung, Pau-Choo
AU - Yeh, Yu Sheng
AU - Yang, Jar-Ferr
PY - 2006/12/1
Y1 - 2006/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=34047193890&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34047193890&partnerID=8YFLogxK
U2 - 10.1109/ICPR.2006.255
DO - 10.1109/ICPR.2006.255
M3 - Conference contribution
AN - SCOPUS:34047193890
SN - 0769525210
SN - 9780769525211
T3 - Proceedings - International Conference on Pattern Recognition
SP - 1140
EP - 1143
BT - Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006
ER -