TY - JOUR
T1 - A sparse error compensation based incremental principal component analysis method for foreground detection
AU - Qin, Ming
AU - Lu, Yao
AU - Di, Huijun
AU - Zhou, Tianfei
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - Foreground detection is a fundamental task in video processing. Recently, many background subspace estimation based foreground detection methods have been proposed. In this paper, a sparse error compensation based incremental principal component analysis method, which robustly updates background subspace and estimates foreground, is proposed for foreground detection. There are mainly two notable features in our method. First, a sparse error compensation process via a probability sampling procedure is designed for subspace updating, which reduces the interference of undesirable foreground signal. Second, the proposed foreground detection method could operate without an initial background subspace estimation, which enlarges the application scope of our method. Extensive experiments on multiple real video sequences show the superiority of our method.
AB - Foreground detection is a fundamental task in video processing. Recently, many background subspace estimation based foreground detection methods have been proposed. In this paper, a sparse error compensation based incremental principal component analysis method, which robustly updates background subspace and estimates foreground, is proposed for foreground detection. There are mainly two notable features in our method. First, a sparse error compensation process via a probability sampling procedure is designed for subspace updating, which reduces the interference of undesirable foreground signal. Second, the proposed foreground detection method could operate without an initial background subspace estimation, which enlarges the application scope of our method. Extensive experiments on multiple real video sequences show the superiority of our method.
KW - Foreground detection
KW - Incremental principal component analysis
KW - Sparse error compensation
UR - http://www.scopus.com/inward/record.url?scp=84984611750&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-24075-6_23
DO - 10.1007/978-3-319-24075-6_23
M3 - Conference article
AN - SCOPUS:84984611750
SN - 0302-9743
VL - 9314
SP - 233
EP - 242
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 16th Pacific-Rim Conference on Multimedia, PCM 2015
Y2 - 16 September 2015 through 18 September 2015
ER -