The Best Background Subtraction For Freely Moving Cameras References
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Background Subtraction For Freely Moving Cameras. Generally speaking, background subtraction involves building a scene representation referred to as the background model, which is compared against incoming video frames to detect the objects. This assumption limits their applicability to moving camera scenarios.
(PDF) A MultilayerBased Framework for Online Background Subtraction from www.researchgate.net
This paper proposes a background subtraction method for moving camera. Our method exploits a technique of interactive image segmentation with seeds (the subsets of pixels marked as “foreground” and “background”). In this study, the authors propose a novel method to perform foreground extraction for freely moving rgbd cameras.
(PDF) A MultilayerBased Framework for Online Background Subtraction
Background subtraction algorithms define the background as parts of a scene that are at rest. Traditionally, these algorithms assume a stationary camera, and identify moving objects by detecting areas in a video that change over time. The exponentially increasing use of moving platforms for video capture introduces the urgent need to develop the general background subtraction algorithms with the capability to deal with the moving background. It's not very hard to achieve that video.
