Abstract
In this paper, we propose a novel method to automatically estimate diffusion parameters within particle filter for efficient head state tracking. Recently, many head pose and facial expression tracking methods have been developed. However, most of the conventional methods are not designed as communication tools. We therefore propose a new head state tracking method which can be applied to various applications such as avatar's facial expression control. The proposed method optimizes the diffusion parameters found within particle filter which is utilized for tracking via the maximum-likelihood approach. Moreover, we propose an update number function that is utilized for incrementally updating the data set. Although the diffusion parameters vary according to the head motion, accurate tracking with the suitable parameters can be realized.
| Original language | English |
|---|---|
| Title of host publication | 4th International Conference on Human System Interaction, HSI 2011 |
| Pages | 386-391 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2011 |
| Externally published | Yes |
| Event | 4th International Conference on Human System Interaction, HSI 2011 - Yokohama, Japan Duration: 2011 May 19 → 2011 May 21 |
Other
| Other | 4th International Conference on Human System Interaction, HSI 2011 |
|---|---|
| Country | Japan |
| City | Yokohama |
| Period | 11/5/19 → 11/5/21 |
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Keywords
- Communication tool
- Diffusion control
- Head pose tracking
- Particle filter
- Real time estimation
ASJC Scopus subject areas
- Human-Computer Interaction
Cite this
Head pose tracking with individual adjustment for communication tools. / Takahashi, Koichi; Fukai, Hironobu; Mitsukura, Yasue.
4th International Conference on Human System Interaction, HSI 2011. 2011. p. 386-391 5937397.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Head pose tracking with individual adjustment for communication tools
AU - Takahashi, Koichi
AU - Fukai, Hironobu
AU - Mitsukura, Yasue
PY - 2011
Y1 - 2011
N2 - In this paper, we propose a novel method to automatically estimate diffusion parameters within particle filter for efficient head state tracking. Recently, many head pose and facial expression tracking methods have been developed. However, most of the conventional methods are not designed as communication tools. We therefore propose a new head state tracking method which can be applied to various applications such as avatar's facial expression control. The proposed method optimizes the diffusion parameters found within particle filter which is utilized for tracking via the maximum-likelihood approach. Moreover, we propose an update number function that is utilized for incrementally updating the data set. Although the diffusion parameters vary according to the head motion, accurate tracking with the suitable parameters can be realized.
AB - In this paper, we propose a novel method to automatically estimate diffusion parameters within particle filter for efficient head state tracking. Recently, many head pose and facial expression tracking methods have been developed. However, most of the conventional methods are not designed as communication tools. We therefore propose a new head state tracking method which can be applied to various applications such as avatar's facial expression control. The proposed method optimizes the diffusion parameters found within particle filter which is utilized for tracking via the maximum-likelihood approach. Moreover, we propose an update number function that is utilized for incrementally updating the data set. Although the diffusion parameters vary according to the head motion, accurate tracking with the suitable parameters can be realized.
KW - Communication tool
KW - Diffusion control
KW - Head pose tracking
KW - Particle filter
KW - Real time estimation
UR - http://www.scopus.com/inward/record.url?scp=79961192740&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79961192740&partnerID=8YFLogxK
U2 - 10.1109/HSI.2011.5937397
DO - 10.1109/HSI.2011.5937397
M3 - Conference contribution
AN - SCOPUS:79961192740
SN - 9781424496402
SP - 386
EP - 391
BT - 4th International Conference on Human System Interaction, HSI 2011
ER -