Friday, March 1, 2013

Simulcam

StroMotion and SimulCam work by compounding idiot box scenes into a
frame-by-frame sequence. StroMotion is based on stroboscoping, a means to
analyze rapid movement so that a locomote aim is perceived as a series of
static images along the objects trajectory. SimulCam is a video biddinging
application combining video sequences with Spatial-Temporal alignment. Given 2
video sequences, a composite video sequence clear be generated which includes
visual elements from each of the given sequences, suitably synchronized and
delineate in a chosen focal plane. For example, given ii video sequences with
each showing a different contestant individually racing the same down-hill
course, the composite sequence can include elements from each of the given
sequences to show the contestants as if racing simultaneously. both StroMotion
and SimulCam technologies are part of the DartFish DartStudio system.
The SimulCam technology involves background recognition, a process that
identifies the pixels that belong in the background and calculates how those
pixels move throughout a series of successive images.

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Differences in the camera angles between both dickens images of two videos are
determined, and then every image of the mho video is geometrically modified
so as to match the stand of the synonymic image in the first video.
SimulCam then blends the two images together.
StroMotion similarly computes the
camera movement between every two successive video images. Once determined, it
stitches the images together, and using a last level of redundancy, its
actually able to remove the moving object from the image. Then, from the
computed camera movement, StroMotion can determine how each video image relates
geometrically to each other and to the panorama. The identification of pixels
belonging to moving objects is based on the change-detection of each video image
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