TY - GEN
T1 - Moving vehicle detection based on an improved interframe difference and a Gaussian model
AU - Li, Wenju
AU - Yao, Jianguo
AU - Dong, Tianzhen
AU - Li, Haif
AU - He, Xiangjian
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/2/16
Y1 - 2016/2/16
N2 - For moving vehicle detection, this paper presents an algorithm on the basis of an improved interframe differential algorithm and an improved Gaussian model. Firstly, according to a statistical histogram, an interesting region is extracted. Through a mean algorithm, an initial background model is established. The interesting region is divided into several blocks by a self-adaptive method. Secondly, according to an improved interframe difference algorithm, the interesting region is separated roughly. On the basis of these steps, we utilize an improved Gaussian model to separate the rough results precisely. At last, the results are processed by double-threshold background subtracting. Experimental results show this algorithm can detect moving vehicles rapidly and accurately.
AB - For moving vehicle detection, this paper presents an algorithm on the basis of an improved interframe differential algorithm and an improved Gaussian model. Firstly, according to a statistical histogram, an interesting region is extracted. Through a mean algorithm, an initial background model is established. The interesting region is divided into several blocks by a self-adaptive method. Secondly, according to an improved interframe difference algorithm, the interesting region is separated roughly. On the basis of these steps, we utilize an improved Gaussian model to separate the rough results precisely. At last, the results are processed by double-threshold background subtracting. Experimental results show this algorithm can detect moving vehicles rapidly and accurately.
KW - double-threshold background subtracting
KW - improved Gaussian model
KW - improved interframe
KW - moving vehicle detection
UR - http://www.scopus.com/inward/record.url?scp=84966663986&partnerID=8YFLogxK
U2 - 10.1109/CISP.2015.7408019
DO - 10.1109/CISP.2015.7408019
M3 - Conference contribution
AN - SCOPUS:84966663986
T3 - Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015
SP - 969
EP - 973
BT - Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015
A2 - Wang, Lipo
A2 - Lin, Sen
A2 - Tao, Zhiyong
A2 - Zeng, Bing
A2 - Hui, Xiaowei
A2 - Shao, Liangshan
A2 - Liang, Jie
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Congress on Image and Signal Processing, CISP 2015
Y2 - 14 October 2015 through 16 October 2015
ER -