Moving Objects is an image stacking
operation that identifies objects that are not stationary and either removes or combines them.
This is useful when, for example, taking a photo of a building from across a busy street – it is
impossible to get a single unobscured shot since all the shots will be partly obscured by pedestrians
walking across the field of view of the camera.
Moving Objects works on the assumption that different parts of the scene will be obscured on each frame in the sequence, so that each pixel of the scene may be recovered by identifying a frame in which it is not obscured by a moving object, such as a person walking on the busy street in the example mentioned above. Consider the example below; the photos on the left show what was actually captured and the one on the right shows the result of “Moving Objects” processing:
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As you can see, all of the moving object have been removed, yielding an “impossible” unobscured image.
The “how” bit
You need at least 3 same-size images of the same scene to run this engine. The images need to be aligned; this can be done by either making sure the camera remains perfectly still or by using the Align Images for Stacking feature.
This is the GUI for the Moving Objects feature:
The slider sets the threshold for the algorithm that detects moving objects.
For the best results when stacking images, keep the camera as steady as possible.
