In our experiment, a wireless camera is used that outputs an
interlaced PAL video signal. This interlaced video signal is a legacy
of the analogue TV sets, where each frame consists of odd and
even fields, one for odd and one for even lines, shot at different
times, which are displayed on the analogue screen at a double
frame rate. Because the fields are not captured at the same time,
any motion in the image (resulting from the motion of the object
in view or motion of the camera) results in the production of jagged edges in the image features (demonstrated in Fig. 4). The
interlacing effects usually cause a lot of problems in video-signal
processing and various techniques are employed to remove the
artifacts in the process of de-interlacing before the frame is fed
to the image-analysis system. However, we can exploit this fact
to estimate the motion field vectors by analyzing the apparent
motion of the same features between two fields. By measuring the
angular velocity of the camera and the distance to the object by
other means, the feature velocity with respect to the camera can
be accurately estimated.
In our experiment, a wireless camera is used that outputs an
interlaced PAL video signal. This interlaced video signal is a legacy
of the analogue TV sets, where each frame consists of odd and
even fields, one for odd and one for even lines, shot at different
times, which are displayed on the analogue screen at a double
frame rate. Because the fields are not captured at the same time,
any motion in the image (resulting from the motion of the object
in view or motion of the camera) results in the production of jagged edges in the image features (demonstrated in Fig. 4). The
interlacing effects usually cause a lot of problems in video-signal
processing and various techniques are employed to remove the
artifacts in the process of de-interlacing before the frame is fed
to the image-analysis system. However, we can exploit this fact
to estimate the motion field vectors by analyzing the apparent
motion of the same features between two fields. By measuring the
angular velocity of the camera and the distance to the object by
other means, the feature velocity with respect to the camera can
be accurately estimated.
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