Abstract:
DIGITAL image sequences captured from cameras attached with aerial vehicles such as
helicopters display unwanted high frequency jittering motion. The amount of motion
present in an image sequence depends on the physics of the motion capture device
relative to objects in the captured sequence. Such applications usually require an image
stabilization system aiming to produce a compensated video sequence so that the
image motion due to the camera’s undesirable shake or jitter can be removed.
The aim of our project is to build low cost software solution to stabilize such videos. The
project contains four major modules i.e. the feature tracker module, homography
computer, mosaic creator and stabilized frame generator. The feature extractor module
uses SIFT algorithm for the extraction of feature points from the frames of the video. The
feature points of one frame is matched with the feature points of another frame or
previously created mosaic. These matched feature points are then used for the
computation of homography matrix which represents the transformation required for one
frame to be aligned with the other frame. The homography matrix is then used for the
creation of mosaic. Reference positions of the frames with respect to the first frame are
saved and are used to make the stabilized frame for the new stabilized video.
The stabilized video can then be used for surveillance purposes in military and in making
different movies or as an input in many different applications.
