Automatic threshold decision of background registration technique for video segmentation

被引:1
|
作者
Huang, YW [1 ]
Chien, SY [1 ]
Hsieh, BY [1 ]
Chen, LG [1 ]
机构
[1] Natl Taiwan Univ, DSP IC Design Lab, Grad Inst Elect Engn, Taipei 106, Taiwan
关键词
automatic threshold decision; background registration; change detection; video segmentation; object extraction;
D O I
10.1117/12.453098
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Background registration technique is useful to solve still object problem and uncovered background problem for video segmentation. However, it is hard to automatically decide the threshold of the frame difference for background registration to make it more feasible for real-time applications. Many previous works made efforts on automatic threshold decision for change detection. In this paper, we propose a new method of automatic threshold decision algorithm in a totally different viewpoint. Not only change detection but also the quantization effect in discrete domain is concerned. A Gaussianity test is first applied to find the standard deviation of Gaussian noise from the camera. Then, the quantization effect in discrete domain is taken into consideration to derive the relation between the standard deviation and the optimal threshold value. A couple MPEG-4 sequences and experimental sequences are tested as examples. Simulation results show that the calculated threshold values are suitable for background registration to give good segmentation results.
引用
收藏
页码:552 / 563
页数:12
相关论文
共 50 条
  • [1] Automatic video object segmentation by integrating object registration and background constructing technology
    Zhang, Guangyu
    Zhu, Weile
    [J]. 2006 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1-4: VOL 1: SIGNAL PROCESSING, 2006, : 437 - +
  • [2] Automatic video segmentation using a novel background model
    Lu, Y
    Gao, W
    Wu, F
    [J]. 2002 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL III, PROCEEDINGS, 2002, : 807 - 810
  • [3] A Fast and Automatic Video Object Segmentation Technique
    Guo Lihua
    [J]. 2008 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1 AND 2: VOL 1: COMMUNICATION THEORY AND SYSTEM - VOL 2: SIGNAL PROCESSING, COMPUTATIONAL INTELLIGENCE, CIRCUITS AND SYSTEMS, 2008, : 806 - 809
  • [4] Real-time memory-efficient video object segmentation in dynamic background with multi-background registration technique
    Chan, Wei-Kai
    Chien, Shao-Yi
    [J]. 2007 IEEE NINTH WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING, 2007, : 219 - 222
  • [5] Hierarchical threshold technique oriented to video object segmentation
    Zheng, JiaLi
    Zhang, YongDong
    Ni, GuangNan
    [J]. 2007 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATION SYSTEMS, VOLS 1 AND 2, 2007, : 862 - +
  • [6] Automatic Video Segmentation Algorithm by Background Model and Color Clustering
    沙芸
    王军
    刘玉树
    [J]. Journal of Beijing Institute of Technology, 2003, (S1) : 134 - 138
  • [7] Automatic Video Segmentation Algorithm by Background Model and Color Clustering
    沙芸
    王军
    刘玉树
    [J]. Journal of Beijing Institute of Technology(English Edition)., 2003, (English Edition) - 138
  • [8] Efficient moving object segmentation algorithm using background registration technique
    Chien, SY
    Ma, SY
    Chen, LG
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2002, 12 (07) : 577 - 586
  • [9] A fast automatic optimal threshold selection technique for image segmentation
    Anshu Singla
    Swarnajyoti Patra
    [J]. Signal, Image and Video Processing, 2017, 11 : 243 - 250
  • [10] A fast automatic optimal threshold selection technique for image segmentation
    Singla, Anshu
    Patra, Swarnajyoti
    [J]. SIGNAL IMAGE AND VIDEO PROCESSING, 2017, 11 (02) : 243 - 250