Share Email Print
cover

Proceedings Paper

The improvement of VIBE foreground detection algorithm
Author(s): Ahong Xu; Jun Zhang; Jinwen Tian; Daimeng Zhang; Xiaomao Liu
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

VIBE algorithm is one of the effective methods that based on dynamic model, which can deal with the detection of moving objects in the slowly changing background. The traditional VIBE uses a fixed threshold to realize target cutting ,that would result in a poor detection when the target enters a background area whose pixel value is not much different from its own pixel value.Thus,we propose a method of moving target detection based on dynamic threshold in this paper.

Paper Details

Date Published: 19 February 2018
PDF: 6 pages
Proc. SPIE 10608, MIPPR 2017: Automatic Target Recognition and Navigation, 1060802 (19 February 2018); doi: 10.1117/12.2281690
Show Author Affiliations
Ahong Xu, Huazhong Univ. of Science and Technology (China)
Jun Zhang, Huazhong Univ. of Science and Technology (China)
Jinwen Tian, Huazhong Univ. of Science and Technology (China)
Daimeng Zhang, Univ. of Maryland, College Park (United States)
Xiaomao Liu, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10608:
MIPPR 2017: Automatic Target Recognition and Navigation
Jianguo Liu; Jayaram K. Udupa; Hanyu Hong, Editor(s)

© SPIE. Terms of Use
Back to Top