Apple MA434Z/A User Manual - Page 748

update every frame, update if above reference tolerance

Page 748 highlights

• matchSpace: The pixels are matched according to the correlation between the selected color space-luminance, hue, or saturation. When an image has roughly the same luminance, but contrasting hues, you should switch to hue-based tracking. You can also adjust the weight of the color channels in the matchSpace subtree. • matchSpace (subtree): Three subparameters with sliders let you weight how closely the tracking operation follows each color channel of the image being tracked. In general, the color channels with the most contrast for the feature you're tracking should be weighted most heavily. Color channels with minimal contrast for the feature you're tracking should be de-emphasized. • referenceTolerance: A tracking correlation of 1 is a perfect score-there is an exact match between the original reference frame and the sampled area. When the referenceTolerance is lowered, you accept greater inaccuracy in your track. If tracked keyframes are between the referenceTolerance and the failureTolerance, they are highlighted in the Viewer. Also, in some cases, referenceBehavior is triggered if the tracking correlation is below the referenceTolerance. • referenceBehavior: A pop-up menu that sets the tracking area reference sample. By default, the reference pattern is the first frame at which the track analysis begins, not necessarily the first frame of the trackRange. The last two behaviors in the referenceBehavior list measure the tracking correlation and match it to the referenceTolerance to decide an action. The referenceBehavior pop-up menu contains the following options: • use start frame: The new samples are compared to the reference pattern from the first frame of the track. If you stop tracking midway, and start again at a later frame, the later frame is used as the reference sample. • update every frame: The source sample is updated from the previous frame. This usually creates an inherent drift in the track, as tiny errors accumulate. This method is for movements that have drastic changes in perspective and scale. • update from keyframes: If you are using a failureBehavior of "predict location and don't create keys" or "don't predict location," a keyframe is not necessarily saved at every frame. In this case, you may only want to update from the last frame with a valid keyframe. • update if above reference tolerance: This option updates the reference sample from the previous frame if the correlation is above the referenceTolerance. The intent is to update every frame unless you know the point is obscured. If you use a predict mode and know there are obstructions, this option keeps the reference area from updating if the point is completely obscured. • update if below reference tolerance: This option updates the reference sample from the previous frame if the correlation is below the referenceTolerance. This basically says, "If I can't get a good match, then resample." This option is excellent for gradual perspective and scale shifts in the tracking area. 748 Chapter 25 Image Tracking, Stabilization, and SmoothCam

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748
Chapter 25
Image Tracking, Stabilization, and SmoothCam
matchSpace:
The pixels are matched according to the correlation between the
selected color space—luminance, hue, or saturation. When an image has roughly the
same luminance, but contrasting hues, you should switch to hue-based tracking.
You can also adjust the weight of the color channels in the matchSpace subtree.
matchSpace (subtree):
Three subparameters with sliders let you weight how closely
the tracking operation follows each color channel of the image being tracked. In
general, the color channels with the most contrast for the feature you’re tracking
should be weighted most heavily. Color channels with minimal contrast for the
feature you’re tracking should be de-emphasized.
referenceTolerance:
A tracking correlation of 1 is a perfect score—there is an exact
match between the original reference frame and the sampled area. When the
referenceTolerance is lowered, you accept greater inaccuracy in your track. If tracked
keyframes are between the referenceTolerance and the failureTolerance, they are
highlighted in the Viewer. Also, in some cases, referenceBehavior is triggered if the
tracking correlation is below the referenceTolerance.
referenceBehavior:
A pop-up menu that sets the tracking area reference sample. By
default, the reference pattern is the first frame at which the track analysis begins, not
necessarily the first frame of the trackRange. The last two behaviors in the
referenceBehavior list measure the tracking correlation and match it to the
referenceTolerance to decide an action.
The referenceBehavior pop-up menu contains the following options:
use start frame:
The new samples are compared to the reference pattern from the
first frame of the track. If you stop tracking midway, and start again at a later frame,
the later frame is used as the reference sample.
update every frame:
The source sample is updated from the previous frame. This
usually creates an inherent drift in the track, as tiny errors accumulate. This method
is for movements that have drastic changes in perspective and scale.
update from keyframes:
If you are using a failureBehavior of “predict location and
don’t create keys” or “don’t predict location,” a keyframe is not necessarily saved at
every frame. In this case, you may only want to update from the last frame with a
valid keyframe.
update if above reference tolerance:
This option updates the reference sample from
the previous frame if the correlation is above the referenceTolerance. The intent is
to update every frame unless you know the point is obscured. If you use a predict
mode and know there are obstructions, this option keeps the reference area from
updating if the point is completely obscured.
update if below reference tolerance:
This option updates the reference sample from
the previous frame if the correlation is below the referenceTolerance. This basically
says, “If I can’t get a good match, then resample.” This option is excellent for
gradual perspective and scale shifts in the tracking area.