Improved Spatiotemporal Background Subtraction Method for Target Detection

SONG Zhiqin; LU Jinzheng; NIE Shiliang

doi:10.3969/j.issn.1003-501x.2016.02.005

[1] LI Weisheng，WANG Zhao. Adaptive Moving Object Detection Method Based on Spatial-temporal Background Model [J]. Journal of Computer Applications，2014，34(12)：3515-3520.

[2] WENG Muyun，HUANG Guoce，DA Xinyu. A New Interframe Difference Algorithm for Moving Target Detection [C]// Image and Signal Processing (CISP)，2011 3rd International Congress on IEEE，Yantai，China，Oct 16-18，2011，1： 285-289.

[3] Senst T，Evangelio R H，Sikora T. Detecting People Carrying Objects Based on an Optical Flow Motion Model [C]// Applications of Computer Vision (WACV)，IEEE Workshop on IEEE(S1550-5790)，Kona，USA，Jan 5-7，2011：301-306.

[4] Mohaned S S，Tahir N M，Adnanr R. Background Modeling and Background Subtraction Performance for Object Detection [C]// Signal Processing and Its Applications(CSPA)，2010 6th International Colloquium on IEEE，Mallaca City，May 21-23，2010：1-6.

[5] Stauffer C，Grimson W E L. Adaptive background mixture models for real-time tracking [C]// Computer Vision and Pattern Recognition，1999 IEEE Computer Society Conference on IEEE(S1063-6919)，Fort Collins，USA，Jun 23-25，1999，2： 246-252.

[6] LUO Wuzhi，XU Shaoqiu，LI Weitong，et al. Design of a dynamic background segmentation system based on simplified KDE [J]. Computer Technology and its Application，2012，38(3)：145-148.

[7] Elgammal A，Duraiswami R，Harwood D，et al. Background and foreground modeling using nonparametric kernel density estimation for visual surveillance [J]. Proceedings of the IEEE(S0018-9219)，2002，90(7)：1151-1163.

[8] XIA Guihua，YANG Nan，CAI Chengtao，et al. Improved kernel density estimation method for target detection [J]. Computer and Engineering Design，2014，35(6)：1973-1977.

[9] WANG Hanzi，Suter D. A consensus-based method for tracking：Modeling background scenario and foreground appearance [J]. Pattern Recognition(S0031-3203)，2007，40(3)：1091-1105.

[10] Olivier B，Marc V D. Vibe：A Universal Background Subtraction Algorithm for Video Sequences [J]. IEEE Transactions on Image Processing(S1057-7149)，2011，20(6)：1709-1724.

[11] Hofmann M，Tiefenbacher P，Rigoll G. Background segmentation with feedback：The pixel-based adaptive segmenter [C]// Computer Vision and Pattern Recognition Workshops(CVPRW)，2012 IEEE Computer Society Conference on IEEE (S2160-7508)，Providence，USA，Jun 16-21，2012：38-43.

[12] Bilodeau G A，Jodoin J P，Saunier N. Change detection in feature space using local binary similarity patterns [C]// Computer and Robot Vision (CRV)，2013 International Conference on IEEE，Regina，Canada，May 28-31，2013：106-112.

[13] Heikkia M，Pietikainen M. A texture-based method for modeling the background and detecting moving objects [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence(S0162-8828)，2006，28(4)：657-662.

[14] Charles P L，Bilodeau G A. Improving background subtraction using local binary similarity patterns [C]// Conference on Applications of Computer Vision (WACV)，2014 IEEE Winter Conference on IEEE，Steamboat Springs，USA，March 24-26，2014：509-515.

[15] Charles P L，Bilodeau G A. Flexible background subtraction with self-balanced local sensitivity [C]// Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)，2014 IEEE Conference on IEEE，Columbus，OH， June 23-28，2014：414-419.

[16] Goyette N，Jodoin P M，Porikli F，et al. Changedetection.net：A new change detection benchmark dataset [C]// Computer Vision and Pattern Recognition Workshops (CVPRW) ， 2012 IEEE Computer Society Conference on IEEE (S2160-7508)，Providence，RI，June 16-21，2012：1-8.