Share Email Print
cover

Proceedings Paper

Background reconstruction via low rank tensor factorization
Author(s): Guiping Shen; Han Zhi; Chen Xiai; Yandong Tang; Zhang Yang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This paper introduces a new method for background reconstruction. Background reconstruction from video sequences captured by a static camera can be regarded as a low rank factorization problem. Background is the low dimensional subspace restored from the higher dimensional visual data, and foreground is treated as sparse noise of unknown distribution. The existing algorithm could not deal with noise of unknown distribution effectively. Due to the limitation of the matrix decomposition which would lost space structure information, we process video data directly as higher order tensor based on low rank tensor factorization (LRTF). We put forward a new model of foreground by using Mixture of Gaussians (MoG) and Markov Random Field (MRF). Extensive experiments show that our method can effectively construct the background.

Paper Details

Date Published: 6 May 2019
PDF: 6 pages
Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 110690B (6 May 2019); doi: 10.1117/12.2524402
Show Author Affiliations
Guiping Shen, Shenyang Institute of Automation (China)
Institutes for Robotics and Intelligent Manufacturing (China)
Univ. of Chinese Academy of Sciences (China)
Han Zhi, Shenyang Institute of Automation (China)
Institutes for Robotics and Intelligent Manufacturing (China)
Chen Xiai, Shenyang Institute of Automation (China)
Institutes for Robotics and Intelligent Manufacturing (China)
Univ. of Chinese Academy of Sciences (China)
Yandong Tang, Shenyang Institute of Automation (China)
Institutes for Robotics and Intelligent Manufacturing (China)
Zhang Yang, Shenyang Institute of Automation (China)
Institutes for Robotics and Intelligent Manufacturing (China)
Univ. Institutes for Robotics and Intelligent Manufacturing, (China)


Published in SPIE Proceedings Vol. 11069:
Tenth International Conference on Graphics and Image Processing (ICGIP 2018)
Chunming Li; Hui Yu; Zhigeng Pan; Yifei Pu, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray