Real-time foreground-background segmentation using adaptive support vector machine algorithm

被引：0
|
作者：
Hao, Zhifeng [2 ]
Wen, Wen [1 ]
Liu, Zhou [3 ]
Yang, Xiaowei [2 ]
机构：
[1] South China Univ Technol, Coll Comp Sci & Engn, Guangzhou 510641, Peoples R China
[2] South China Univ Technol, Sch Math Sci, Guangzhou 510641, Peoples R China
[3] Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
来源：
ARTIFICIAL NEURAL NETWORKS - ICANN 2007, PT 2, PROCEEDINGS | 2007年 / 4669卷
关键词：
support vector machine; regression; foreground-background segmentation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a SVM regression based method is proposed for background estimation and foreground detection. Incoming frames are treated as time series and a fixed-scale working-set selecting strategy is specifically designed for real-time background estimation. Experiments on two representative videos demonstrate the application potential of the proposed algorithm and also reveal some problems underlying it. Both the positive and negative reports from our study offer some useful information for researchers both in the field of image processing and that of machine learning.
引用
收藏
页码：603 / +
页数：2
相关论文
共 50 条
  • [1] Real-time foreground-background segmentation using codebook model
    Kim, K
    Chalidabhongse, TH
    Harwood, D
    Davis, L
    [J]. REAL-TIME IMAGING, 2005, 11 (03) : 172 - 185
  • [2] Real-Time Adaptive Foreground/Background Segmentation
    Darren E. Butler
    V. Michael Bove
    Sridha Sridharan
    [J]. EURASIP Journal on Advances in Signal Processing, 2005
  • [3] Real-time adaptive foreground/background segmentation
    Butler, DE
    Bove, VM
    Sridharan, S
    [J]. EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, 2005, 2005 (14) : 2292 - 2304
  • [4] Real Time Foreground-Background Segmentation Using a Modified Codebook Model
    Ilyas, Atif
    Scuturici, Mihaela
    Miguet, Serge
    [J]. AVSS: 2009 6TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE, 2009, : 454 - 459
  • [5] A Foreground-background Segmentation Algorithm for Video Sequences
    Wei, Zhou
    Li, Peng
    HuangYue
    [J]. 14TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS FOR BUSINESS, ENGINEERING AND SCIENCE (DCABES 2015), 2015, : 340 - 343
  • [6] Foreground-Background Segmentation using Iterated Distribution Matching
    Viet-Quoc Pham
    Takahashi, Keita
    Naemura, Takeshi
    [J]. 2011 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2011,
  • [7] Real-time adaptive background segmentation
    Butler, D
    Sridharan, S
    Bove, VM
    [J]. 2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PROCEEDINGS: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING SIGNAL, PROCESSING EDUCATION, 2003, : 349 - 352
  • [8] Real-time adaptive background segmentation
    Butler, D
    Sridharan, S
    Bove, VM
    [J]. 2003 INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOL III, PROCEEDINGS, 2003, : 341 - 344
  • [9] Real-time Foreground Segmentation Based on A Fused Background Model
    Wu, Xiaoyu
    Yang, Lei
    Yang, Cheng
    [J]. 2010 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2010), VOL 2, 2010, : 585 - 588
  • [10] Improved Foreground-Background Segmentation using Dempster-Shafer Fusion
    Moro, Alessandro
    Mumolo, Enzo
    Nolich, Massimiliano
    Terabayashi, Kenji
    Umeda, Kazunori
    [J]. 2013 8TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA), 2013, : 72 - 77
12345