TY - GEN
T1 - An illumination-robust algorithm based on visual background extractor for moving object detection
AU - Wang, Huan
AU - Wang, Qinglin
AU - Li, Yuan
AU - Liu, Yan
AU - Dai, Yaping
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/8
Y1 - 2015/9/8
N2 - Aiming at the problem that ViBe (Visual Background extractor) algorithm is sensitive to illumination variation, an improved ViBe algorithm is proposed in this paper. First, a brightness reference image is build, which represents the brightness level of background. Second, adjust the brightness of current frame, which is changed by illumination variation, back to the reference images brightness level adaptively by using image intensity normalization method based on histogram statistics. With this method, the influence of illumination variation can be basically eliminated. At last, a morphology postprocessing is used to filter the results of binary image, remove the noise in the background, fill small voids within the object, and suppress the influence of dynamic background. The experimental results show that compared with several existing algorithms, the proposed algorithm has higher detection accuracy and is robust for illumination variation.
AB - Aiming at the problem that ViBe (Visual Background extractor) algorithm is sensitive to illumination variation, an improved ViBe algorithm is proposed in this paper. First, a brightness reference image is build, which represents the brightness level of background. Second, adjust the brightness of current frame, which is changed by illumination variation, back to the reference images brightness level adaptively by using image intensity normalization method based on histogram statistics. With this method, the influence of illumination variation can be basically eliminated. At last, a morphology postprocessing is used to filter the results of binary image, remove the noise in the background, fill small voids within the object, and suppress the influence of dynamic background. The experimental results show that compared with several existing algorithms, the proposed algorithm has higher detection accuracy and is robust for illumination variation.
KW - Image intensity normalization
KW - Moving object detection
KW - Visual background extractor algorithm
UR - http://www.scopus.com/inward/record.url?scp=84957647512&partnerID=8YFLogxK
U2 - 10.1109/ASCC.2015.7244840
DO - 10.1109/ASCC.2015.7244840
M3 - Conference contribution
AN - SCOPUS:84957647512
T3 - 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015
BT - 2015 10th Asian Control Conference
A2 - Selamat, Hazlina
A2 - Ramli, Hafiz Rashidi Haruna
A2 - Faudzi, Ahmad Athif Mohd
A2 - Rahman, Ribhan Zafira Abdul
A2 - Ishak, Asnor Juraiza
A2 - Soh, Azura Che
A2 - Ahmad, Siti Anom
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th Asian Control Conference, ASCC 2015
Y2 - 31 May 2015 through 3 June 2015
ER -