Robust digital image stabilization using feature tracking
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 t...
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| creator | Chuntao Wang Jin-Hyung Kim Keun-Yung Byun Sung-Jea Ko |
| description | 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. |
| doi_str_mv | 10.1109/ICCE.2009.5012257 |
| format | Conference Proceeding |
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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. 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Simulation results show that the proposed algorithm can speed up the tracking process and obtain more stabilized performance.</description><subject>Clustering algorithms</subject><subject>Computational complexity</subject><subject>Digital cameras</subject><subject>Digital images</subject><subject>Karhunen-Loeve transforms</subject><subject>Motion compensation</subject><subject>Motion estimation</subject><subject>Predictive models</subject><subject>Robustness</subject><subject>Tracking</subject><issn>2158-3994</issn><issn>2158-4001</issn><isbn>9781424447015</isbn><isbn>1424447011</isbn><isbn>9781424425587</isbn><isbn>1424425581</isbn><isbn>142442559X</isbn><isbn>9781424425594</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotUM1Kw0AYXH8KrTUPIF7yAonf9-3_UULVQkGQHryVTbMJq7GV7PagT2_UzGWGGRiGYewGoUQEe7euqlVJALaUgERSn7ErFCQESWlfz9mCUJpCAOAFy6w2f5nQgPJyyri1YsbmRijBUeg5y2J8gxFCckl8wezLsT7FlDehC8n1efhwnc9jcnXow7dL4XjITzEcurz1Lp0Gn6fB7d9H45rNWtdHn028ZNuH1bZ6KjbPj-vqflMEC6mgvYBGKqgJvQLV1K5Wioz3v1J5blp042zuLG9A6hobMthqLQy1hIrzJbv9rw3e-93nMA4cvnbTH_wHfuxM8A</recordid><startdate>200901</startdate><enddate>200901</enddate><creator>Chuntao Wang</creator><creator>Jin-Hyung Kim</creator><creator>Keun-Yung Byun</creator><creator>Sung-Jea Ko</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200901</creationdate><title>Robust digital image stabilization using feature tracking</title><author>Chuntao Wang ; Jin-Hyung Kim ; Keun-Yung Byun ; Sung-Jea Ko</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-2c40d560b21e606dbab6628ee6dba6e38f1a1423a93d057b1d281f77482f21633</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Clustering algorithms</topic><topic>Computational complexity</topic><topic>Digital cameras</topic><topic>Digital images</topic><topic>Karhunen-Loeve transforms</topic><topic>Motion compensation</topic><topic>Motion estimation</topic><topic>Predictive models</topic><topic>Robustness</topic><topic>Tracking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chuntao Wang</creatorcontrib><creatorcontrib>Jin-Hyung Kim</creatorcontrib><creatorcontrib>Keun-Yung Byun</creatorcontrib><creatorcontrib>Sung-Jea Ko</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chuntao Wang</au><au>Jin-Hyung Kim</au><au>Keun-Yung Byun</au><au>Sung-Jea Ko</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Robust digital image stabilization using feature tracking</atitle><btitle>2009 Digest of Technical Papers International Conference on Consumer Electronics</btitle><stitle>ICCE</stitle><date>2009-01</date><risdate>2009</risdate><spage>1</spage><epage>2</epage><pages>1-2</pages><issn>2158-3994</issn><eissn>2158-4001</eissn><isbn>9781424447015</isbn><isbn>1424447011</isbn><isbn>9781424425587</isbn><isbn>1424425581</isbn><eisbn>142442559X</eisbn><eisbn>9781424425594</eisbn><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.</abstract><pub>IEEE</pub><doi>10.1109/ICCE.2009.5012257</doi><tpages>2</tpages></addata></record> |
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| identifier | ISSN: 2158-3994 |
| ispartof | 2009 Digest of Technical Papers International Conference on Consumer Electronics, 2009, p.1-2 |
| issn | 2158-3994 2158-4001 |
| language | eng |
| recordid | cdi_ieee_primary_5012257 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Clustering algorithms Computational complexity Digital cameras Digital images Karhunen-Loeve transforms Motion compensation Motion estimation Predictive models Robustness Tracking |
| title | Robust digital image stabilization using feature tracking |
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