Multiple Motion Segmentation of Sport Image Based on Multi-Layer Background Subtraction

Meng Zhao; Zhan Ping Li

doi:10.4028/www.scientific.net/AMR.846-847.1266

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 846-847Multiple Motion Segmentation of Sport Image Based...

Multiple Motion Segmentation of Sport Image Based on Multi-Layer Background Subtraction

Abstract:

Segmentation of motion in an image sequence is one of the most challenging problems in image processing. In image analysis engineering, accurate statistics of sport image is one of the most important subjects, while at the same time one that finds numerous applications. In this paper, we propose a robust multi-layer background subtraction technique which takes advantages of local texture features represented by local binary patterns (LBP) and photometric invariant color measurements in RGB color space. Due to the use of a simple layer-based strategy, the approach can model moving background pixels with quasiperiodic flickering as well as background scenes which may vary over time due to the addition and removal of long-time stationary objects, which plays an important role in optimizing the growth conditions of sport image. Segmentation of sport images is successfully realized by means of multi-layer background subtraction method and then the sport image is computed precisely.

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Periodical:

Advanced Materials Research (Volumes 846-847)

Pages:

1266-1269

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.846-847.1266

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Online since:

November 2013

Authors:

Meng Zhao*, Zhan Ping Li

Keywords:

Background Subtraction, Motion Segmentation, Multilayer

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