Image stabilization by features tracking
This paper describes a technique for image stabilization in video sequences. The warping that compensates for the camera motion is computed from tracked features in the images. In order to cope with moving objects, a robust technique is used to compute homographies. Moreover, the tracking is made mo...
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| creator | Censi, A. Fusiello, A. Roberto, V. |
| description | This paper describes a technique for image stabilization in video sequences. The warping that compensates for the camera motion is computed from tracked features in the images. In order to cope with moving objects, a robust technique is used to compute homographies. Moreover, the tracking is made more reliable by using the computed warping to help predict the features' positions. The effectiveness of the motion compensation is demonstrated by constructing mosaic images from the stabilized sequence and by computing the RMS error. An effort has been made to keep the computational cost low and to reduce the frame rate needed for tracking, with the aim of making a real-time implementation viable. |
| doi_str_mv | 10.1109/ICIAP.1999.797671 |
| format | Conference Proceeding |
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The warping that compensates for the camera motion is computed from tracked features in the images. In order to cope with moving objects, a robust technique is used to compute homographies. Moreover, the tracking is made more reliable by using the computed warping to help predict the features' positions. The effectiveness of the motion compensation is demonstrated by constructing mosaic images from the stabilized sequence and by computing the RMS error. 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The warping that compensates for the camera motion is computed from tracked features in the images. In order to cope with moving objects, a robust technique is used to compute homographies. Moreover, the tracking is made more reliable by using the computed warping to help predict the features' positions. The effectiveness of the motion compensation is demonstrated by constructing mosaic images from the stabilized sequence and by computing the RMS error. An effort has been made to keep the computational cost low and to reduce the frame rate needed for tracking, with the aim of making a real-time implementation viable.</description><subject>Cameras</subject><subject>Computational efficiency</subject><subject>Informatics</subject><subject>Laboratories</subject><subject>Layout</subject><subject>Machine vision</subject><subject>Mathematics</subject><subject>Motion compensation</subject><subject>Read only memory</subject><subject>Video sequences</subject><isbn>9780769500409</isbn><isbn>0769500404</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1999</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj71qwzAURgWlkJL6AZrJYxe7UnSl6zsG0x9DIB2yhytLCmqTtFjqkD59A-m3nOHAgU-IByVbpSQ9Df2wem8VEbVIaFHdiIqwk2jJSAmSZqLK-UNeBmA0mDvxOBx5H-pc2KVD-uWSvk61O9cxcPmZQq7LxONnOu3vxW3kQw7VP-di-_K87d-a9eZ16FfrJnVUGlbaW14a7Kxirdlb9BhHshiddx3zCHFpQRM7ZNCW_cioASVCMP4i5mJxzaYQwu57SkeezrvrG_0HzPw_uw</recordid><startdate>1999</startdate><enddate>1999</enddate><creator>Censi, A.</creator><creator>Fusiello, A.</creator><creator>Roberto, V.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1999</creationdate><title>Image stabilization by features tracking</title><author>Censi, A. ; Fusiello, A. ; Roberto, V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i89t-a13d6a257861a33ad67d7fc967fbdb8aac4f26439ab7a436adca7347074e5d643</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Cameras</topic><topic>Computational efficiency</topic><topic>Informatics</topic><topic>Laboratories</topic><topic>Layout</topic><topic>Machine vision</topic><topic>Mathematics</topic><topic>Motion compensation</topic><topic>Read only memory</topic><topic>Video sequences</topic><toplevel>online_resources</toplevel><creatorcontrib>Censi, A.</creatorcontrib><creatorcontrib>Fusiello, A.</creatorcontrib><creatorcontrib>Roberto, V.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Censi, A.</au><au>Fusiello, A.</au><au>Roberto, V.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Image stabilization by features tracking</atitle><btitle>Proceedings 10th International Conference on Image Analysis and Processing</btitle><stitle>ICIAP</stitle><date>1999</date><risdate>1999</risdate><spage>665</spage><epage>667</epage><pages>665-667</pages><isbn>9780769500409</isbn><isbn>0769500404</isbn><abstract>This paper describes a technique for image stabilization in video sequences. The warping that compensates for the camera motion is computed from tracked features in the images. In order to cope with moving objects, a robust technique is used to compute homographies. Moreover, the tracking is made more reliable by using the computed warping to help predict the features' positions. The effectiveness of the motion compensation is demonstrated by constructing mosaic images from the stabilized sequence and by computing the RMS error. An effort has been made to keep the computational cost low and to reduce the frame rate needed for tracking, with the aim of making a real-time implementation viable.</abstract><pub>IEEE</pub><doi>10.1109/ICIAP.1999.797671</doi><tpages>3</tpages></addata></record> |
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| identifier | ISBN: 9780769500409 |
| ispartof | Proceedings 10th International Conference on Image Analysis and Processing, 1999, p.665-667 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Cameras Computational efficiency Informatics Laboratories Layout Machine vision Mathematics Motion compensation Read only memory Video sequences |
| title | Image stabilization by features tracking |
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