An image sequence stabilization system that removes translational jitter while preserving intentional camera pan is presented. The video sequence is processed to acquire global camera translations from frame to frame ...
详细信息
ISBN:
(纸本)0819439886
An image sequence stabilization system that removes translational jitter while preserving intentional camera pan is presented. The video sequence is processed to acquire global camera translations from frame to frame (global interframe motion vectors) by motion estimation. The resulting motion vectors an accumulated to construct an absolute frame position vs. frame number signal. This signal is low-pass filtered to remove high frequency components caused by jitter, and retain low frequency parts representing the intentional camera pan. Correction vectors for image frames are obtained by subtracting the absolute frame position from the low-pass filtered value, and stabilization is achieved by the corresponding translation of image frames.
The imagesequence in a video taken by a moving camera may suffer from irregular perturbations because of irregularities in the motion of the person or vehicle carrying the camera. We show how to use information in th...
详细信息
The imagesequence in a video taken by a moving camera may suffer from irregular perturbations because of irregularities in the motion of the person or vehicle carrying the camera. We show how to use information in the imagesequence to correct the effects of these irregularities so that the sequence is smoothed, i.e., is approximately the same as the sequence that would have been obtained if the motion of the camera had been smooth. Our method is based on the fact that the irregular motion is almost entirely rotational, and that the rotational image motion can be detected and corrected if a distant object, such as the horizon, is visible.
In this paper, we propose an automatic and sequential method for the registration of an imagesequence of a road area without ignoring scene-induced motion. This method contributes to a larger work, aiming at vehicle ...
详细信息
In this paper, we propose an automatic and sequential method for the registration of an imagesequence of a road area without ignoring scene-induced motion. This method contributes to a larger work, aiming at vehicle tracking. A typical imagesequence is recorded from a helicopter hovering above the freeway. The demand for automation is inevitable due to the large number of images and continuous changes in the traffic situation and weather conditions. A framework is designed and implemented for this purpose. The registration errors are removed in a sequential way based on two homography assumptions. First, an approximate registration is obtained, which is efficiently refined in a second step, using a restricted search area. The results of the stabilization framework are demonstrated on an imagesequence consisting of 1500 images and show that our method allows a registration between arbitrary images in the sequence with a geometric error of zero in pixel accuracy.
暂无评论