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Proceedings Paper

Object-layering technology of video sequence with background restoration based on neural network
Author(s): Yongqing Huo; Qicong Peng
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Paper Abstract

The object-layering technology of Video Sequence is very important in many fields. Commonly, video image can be decomposed into background and moving objects. In this paper, based on features of different objects of the scene video sequence, aimed at the background object, we study the object-layering technology with background restoration based on neural network. This technology adopts two-stage pattern recognition and estimation with weighted multiple frames, increasing the reliability of the object-layering and extremely suppressing the noise. The experiments show the technology discussed is effective.

Paper Details

Date Published: 4 January 2006
PDF: 5 pages
Proc. SPIE 5985, International Conference on Space Information Technology, 59853D (4 January 2006); doi: 10.1117/12.657985
Show Author Affiliations
Yongqing Huo, Univ. of Electronic Science and Technology of China (China)
Qicong Peng, Univ. of Electronic Science and Technology of China (China)


Published in SPIE Proceedings Vol. 5985:
International Conference on Space Information Technology
Cheng Wang; Shan Zhong; Xiulin Hu, Editor(s)

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