Segmentation of moving objects in image sequence based on perceptual similarity of local texture and photometric features
Abstract The segmentation of moving objects in image sequence can be formulated as a background subtraction problem—the separation of objects from the background in each image frame. The background scene is learned and modeled. A pixelwise process is employed to classify each pixel as an object or b...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2018-07-01
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| Series: | EURASIP Journal on Image and Video Processing |
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| Online Access: | http://link.springer.com/article/10.1186/s13640-018-0308-4 |