Moving objects detection employing iterative update of the background-Reference-Cited by-同舟云学术

Moving objects detection employing iterative update of the background

Published:2017-01-20 Issue:2 Volume:22 Page:168-174
ISSN:1433-5298
Container-title:Artificial Life and Robotics
language:en
Short-container-title:Artif Life Robotics

Author:

Setyawan F. X. Arinto,Tan Joo Kooi,Kim Hyoungseop,Ishikawa Seiji

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,General Biochemistry, Genetics and Molecular Biology

Link

http://link.springer.com/article/10.1007/s10015-016-0347-9/fulltext.html

Reference14 articles.

1. Aslani S, Nasab HM (2013) Optical flow based moving object detection and tracking for traffic surveillance. Int J Elec Rob Electro Comm Eng 7:774–777

2. Prabhakar N et al (2012) Object tracking using frame differencing and template matching. Res J Appl Sci Eng Tech 4(24):5497–5501

3. Keerthana N, Ravichandran KS, Santhi B (2013) Detecting the moving object in dynamic backgrounds by using fuzzy-extreme learning machine. Int J Eng Tech 5(2):749–754

4. Bouwmans T (2011) Recent advance on statistical background modeling for foreground detection: a systematic survey. Recent Patent on Computer Science 4(3):147–176

5. Guyon C, Bouwmans T, Zahzah E (2012) Foreground detection based on low-rank and block-sparse matrix decomposition. Proc IEEE Int Conf Image Process (ICIP) 1225–1228

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