Estimating Geospatial Trajectory of a Moving Camera

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 upto 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 (usi...

• Type: Conference
• Year: 2006
• Where: ICPR
• Authors: Asaad Hakeem, Mubarak Shah, Rita Cucchiara, Roberto Vezzani
• Keywords: Camera Trajectory, Computer Vision, Geospatial Trajectory, ICPR 2006, Trajectory Smoothing