Segmentation of moving objects in image sequence based on perceptual similarity of local texture and photometric features

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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Bibliographic Details
Main Author: K. L. Chan
Format: Article
Language:English
Published: SpringerOpen 2018-07-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Moving object segmentation
Background subtraction
Local ternary pattern
Video surveillance
Dynamic background
Online Access:http://link.springer.com/article/10.1186/s13640-018-0308-4

Internet

http://link.springer.com/article/10.1186/s13640-018-0308-4

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