Abstract
This paper presents a new robust digital image stabilization (DIS) algorithm which uses well-tracked feature points to estimate the motion between two consecutive frames. The motion prediction with the Kalman filter is incorporated into the Kanade-Lucas-Tomasi (KLT) tracker to further speed up the tracking process. A new scheme is proposed to adaptively update the Kalman filter. Simulation results show that the proposed algorithm can speed up the tracking process and obtain more stabilized performance.
| Original language | English |
|---|---|
| Title of host publication | Digest of Technical Papers - IEEE International Conference on Consumer Electronics |
| DOIs | |
| Publication status | Published - 2009 Sep 25 |
| Event | 2009 International Conference on Consumer Electronics, ICCE 2009 - Las Vegas, NV, United States Duration: 2009 Jan 10 → 2009 Jan 14 |
Other
| Other | 2009 International Conference on Consumer Electronics, ICCE 2009 |
|---|---|
| Country | United States |
| City | Las Vegas, NV |
| Period | 09/1/10 → 09/1/14 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
Cite this
Robust digital image stabilization using feature tracking. / Wang, Chuntao; Kim, Jin Hyung; Byun, Keun Yung; Ko, Sung-Jea.
Digest of Technical Papers - IEEE International Conference on Consumer Electronics. 2009. 5012257.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Robust digital image stabilization using feature tracking
AU - Wang, Chuntao
AU - Kim, Jin Hyung
AU - Byun, Keun Yung
AU - Ko, Sung-Jea
PY - 2009/9/25
Y1 - 2009/9/25
N2 - This paper presents a new robust digital image stabilization (DIS) algorithm which uses well-tracked feature points to estimate the motion between two consecutive frames. The motion prediction with the Kalman filter is incorporated into the Kanade-Lucas-Tomasi (KLT) tracker to further speed up the tracking process. A new scheme is proposed to adaptively update the Kalman filter. Simulation results show that the proposed algorithm can speed up the tracking process and obtain more stabilized performance.
AB - This paper presents a new robust digital image stabilization (DIS) algorithm which uses well-tracked feature points to estimate the motion between two consecutive frames. The motion prediction with the Kalman filter is incorporated into the Kanade-Lucas-Tomasi (KLT) tracker to further speed up the tracking process. A new scheme is proposed to adaptively update the Kalman filter. Simulation results show that the proposed algorithm can speed up the tracking process and obtain more stabilized performance.
UR - http://www.scopus.com/inward/record.url?scp=70349290967&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349290967&partnerID=8YFLogxK
U2 - 10.1109/ICCE.2009.5012257
DO - 10.1109/ICCE.2009.5012257
M3 - Conference contribution
AN - SCOPUS:70349290967
SN - 9781424425594
BT - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
ER -