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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Asaad Hakeem Vezzani, R. Shah, Mubarak Cucchiara, R. |
| Copyright Year | 2006 |
| Description | Author affiliation: Sch. of Electr. Eng. & Comput. Sci., Univ. of Central Florida, Orlando, FL (Asaad Hakeem) |
| Abstract | This paper proposes a novel method for estimating the geospatial trajectory of a moving camera. The proposed method uses a set of reference images with known GPS (global positioning system) locations to recover the trajectory of a moving camera using geometric constraints. The proposed method has three main steps. First, scale invariant features transform (SIFT) are detected and matched between the reference images and the video frames to calculate a weighted adjacency matrix (WAM) based on the number of SIFT matches. Second, using the estimated WAM, the maximum matching reference image is selected for the current video frame, which is then used to estimate the relative position (rotation and translation) of the video frame using the fundamental matrix constraint. The relative position is recovered up to a scale factor and a triangulation among the video frame and two reference images is performed to resolve the scale ambiguity. Third, an outlier rejection and trajectory smoothing (using b-spline) post processing step is employed. This is because the estimated camera locations may be noisy due to bad point correspondence or degenerate estimates of fundamental matrices. Results of recovering camera trajectory are reported for real sequences |
| Sponsorship | IEEE CPS |
| Starting Page | 82 |
| Ending Page | 87 |
| File Size | 870184 |
| Page Count | 6 |
| File Format | |
| ISBN | 0769525210 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2006.499 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-08-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cameras Global Positioning System Robot sensing systems Robot vision systems Image reconstruction Navigation Remotely operated vehicles Mobile robots Cities and towns Robotics and automation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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