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Foreground-background, a scheduling algorithm that is used to control execution of multiple processes on a single processor; Foreground-background segmentation, a method for studying change blindness using photographs with distinct foreground and background scenery; Foreground detection, a concept in computer vision to detect changes in image ...
In the context of research and development (R&D) collaborations, background, foreground, sideground and postground intellectual property (IP) are four distinct forms of intellectual property assets. These are included in the broader and more general categories of knowledge in R&D collaborations or open innovation .
Background subtraction is a widely used approach for detecting moving objects in videos from static cameras. The rationale in the approach is that of detecting the moving objects from the difference between the current frame and a reference frame, often called "background image", or "background model".
Movement also helps; the figure may be moving against a static environment. Color is also a cue because the background tends to continue as one color behind potentially multiple foreground figures, whose colors may vary. Edge assignment also helps; if the edge belongs to the figure, it defines the shape while the background exists behind the shape.
First the background is captured without actors or other foreground elements; then the scene is recorded. The image of the background is used to cancel the background in the actual footage; for example in a digital image, each pixel will have a different chroma key. This is sometimes referred to as a difference matte. [17]
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Foreground-background is a scheduling algorithm that is used to control an execution of multiple processes on a single processor. It is based on two waiting lists, the first one is called foreground because this is the one in which all processes initially enter, and the second one is called background because all processes, after using all of their execution time in foreground, are moved to ...
Talk about a tale of two cities. “You can get plenty of exercise simply by walking to your job, restaurants and other destinations,” the report reads of New York’s high score.