A set of fast and robust electronic video stabilization algorithms
are presented in this thesis. The first algorithm is based on a
two-dimensional feature-based motion estimation technique. The
method tracks a small set of features and estimates the movement of
the camera between consecutive frames. An affine motion model is
utilized to determine the parameters of translation and rotation
between images. The determined affine transformation is then
exploited to compensate for the abrupt temporal discontinuities of
input image sequences. Also, a Frequency domain approach is
developed to estimate translations between two consecutive frames
in a video sequence. Finally, a jitter detection technique has been
developed to isolate vibration affected subsequences from an image
sequence. The experimental results of using both simulated and real
images have revealed the applicability of the proposed techniques.
In particular, the emphasis has been to develop real time
implementable algorithms, suitable for unmanned vehicles with
severe payload constraints.
|Country of origin:
Mohammed A Alharbi
||246 x 189 x 8mm (L x W x T)
||Paperback - Trade
Social sciences >
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