Share Email Print

Proceedings Paper

An improved ViBe background subtraction method based on region motion classification
Author(s): Ying Chu; Jiong Chen; Xia Chen
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

Motion detection plays an important role in intelligent video surveillance. This paper introduces a particular background subtraction technique called ViBe. This technique updates the background model randomly and it has established model with fast, high precision and fast processing speed. ViBe algorithm provides the method of updated background model, but slowly eliminates ghost region. This paper presents an improved ViBe algorithm based on region motion classification. The algorithm considers the difference of the movement directions of feature points in foreground regions on adjacent frame, and defines a criterion function to evaluate the difference so that can quickly eliminate ghost regions. Experimental results show that the proposed algorithm quickly remove the ghost region and improve the detection accuracy.

Paper Details

Date Published: 26 October 2013
PDF: 5 pages
Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 89180I (26 October 2013); doi: 10.1117/12.2030866
Show Author Affiliations
Ying Chu, Shanghai Univ. of Electric Power (China)
Jiong Chen, Shanghai Univ. of Electric Power (China)
Xia Chen, Shanghai Univ. of Electric Power (China)

Published in SPIE Proceedings Vol. 8918:
MIPPR 2013: Automatic Target Recognition and Navigation
Tianxu Zhang; Nong Sang, Editor(s)

© SPIE. Terms of Use
Back to Top