Abstract
The problem of real-time tracking appearances in dense visual clutter is challenging. This paper provides a solution to the tough problem by combining an adaptive appearance model and a template-based condensation tracker. As an adaptive appearance model, we utilize the WSL appearance model proposed by Jepson et al. We adopt the sparse template condensation proposed by Shakunaga et al. as a framework of real-time tracking. Rapid and reliable tracking is performed in the framework by matching only a few percent of the whole pixels in the template. Since a sparse template is made up from the stable component of the WSL template, which is called the S-template in this paper, the WSL model and the sparse condensation tracker can collaborate with each other through the sparse S-template. The tracker works as almost rapidly as the sparse template condensation since the WSL model efficiently facilitates the template adaptation.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 8th IASTED International Conference on Signal and Image Processing, SIP 2006 |
| Pages | 85-90 |
| Number of pages | 6 |
| Publication status | Published - 2006 |
| Event | 8th IASTED International Conference on Signal and Image Processing, SIP 2006 and the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2006 - Honolulu, HI, United States Duration: Aug 14 2006 → Aug 16 2006 |
Other
| Other | 8th IASTED International Conference on Signal and Image Processing, SIP 2006 and the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2006 |
|---|---|
| Country | United States |
| City | Honolulu, HI |
| Period | 8/14/06 → 8/16/06 |
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Keywords
- Condensation
- Object tracking
- Sparse template matching
- WSL model
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Signal Processing
Cite this
Robust tracking of appearance by sparse template adaptation. / Shakunaga, Takeshi; Noguchi, Kiyoshi.
Proceedings of the 8th IASTED International Conference on Signal and Image Processing, SIP 2006. 2006. p. 85-90.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Robust tracking of appearance by sparse template adaptation
AU - Shakunaga, Takeshi
AU - Noguchi, Kiyoshi
PY - 2006
Y1 - 2006
N2 - The problem of real-time tracking appearances in dense visual clutter is challenging. This paper provides a solution to the tough problem by combining an adaptive appearance model and a template-based condensation tracker. As an adaptive appearance model, we utilize the WSL appearance model proposed by Jepson et al. We adopt the sparse template condensation proposed by Shakunaga et al. as a framework of real-time tracking. Rapid and reliable tracking is performed in the framework by matching only a few percent of the whole pixels in the template. Since a sparse template is made up from the stable component of the WSL template, which is called the S-template in this paper, the WSL model and the sparse condensation tracker can collaborate with each other through the sparse S-template. The tracker works as almost rapidly as the sparse template condensation since the WSL model efficiently facilitates the template adaptation.
AB - The problem of real-time tracking appearances in dense visual clutter is challenging. This paper provides a solution to the tough problem by combining an adaptive appearance model and a template-based condensation tracker. As an adaptive appearance model, we utilize the WSL appearance model proposed by Jepson et al. We adopt the sparse template condensation proposed by Shakunaga et al. as a framework of real-time tracking. Rapid and reliable tracking is performed in the framework by matching only a few percent of the whole pixels in the template. Since a sparse template is made up from the stable component of the WSL template, which is called the S-template in this paper, the WSL model and the sparse condensation tracker can collaborate with each other through the sparse S-template. The tracker works as almost rapidly as the sparse template condensation since the WSL model efficiently facilitates the template adaptation.
KW - Condensation
KW - Object tracking
KW - Sparse template matching
KW - WSL model
UR - http://www.scopus.com/inward/record.url?scp=56549097378&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=56549097378&partnerID=8YFLogxK
M3 - Conference contribution
SN - 0889865833
SN - 9780889865839
SP - 85
EP - 90
BT - Proceedings of the 8th IASTED International Conference on Signal and Image Processing, SIP 2006
ER -