Double-change-detection method for wavelet-based moving-object segmentation

被引:30
|
作者
Huang, JC [1 ]
Su, TS
Wang, LJ
Hsieh, WS
机构
[1] Natl Sun Yat Sen Univ, Dept Comp Sci & Engn, Kaohsiung 804, Taiwan
[2] Natl Ping Tung Inst Commerce, Dept Informat Technol, Pingtung 900, Taiwan
[3] Shu Te Univ, Dept Comp Sci & Informat Engn, Kaohsiung 824, Taiwan
关键词
D O I
10.1049/el:20040534
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A method is proposed for moving-object segmentation using three successive frames. The change detection method is used twice in wavelet domain. After applying the intersect operation, the moving object edge map and further object shape information can be accurately obtained.
引用
收藏
页码:798 / 799
页数:2
相关论文
共 50 条
  • [1] Double change detection method for moving-object segmentation based on clustering
    Liu, Haihua
    Chen, Xinhao
    Chen, Yaguang
    Xie, Changsheng
    2006 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11, PROCEEDINGS, 2006, : 5027 - +
  • [2] Wavelet-based moving object segmentation
    Huang, JC
    Hsieh, WS
    ELECTRONICS LETTERS, 2003, 39 (19) : 1380 - 1382
  • [3] A Moving-object Segmentation Method Based on Instance Enhancement on LiDAR Data
    Guo, Ruibin
    Wang, Neng
    Chen-Xie, Yuanli
    Yu, Qinghua
    Zhou, Zongtan
    Lu, Huiming
    Jiqiren/Robot, 2024, 46 (05): : 534 - 543
  • [4] Wavelet-based moving object segmentation using background registration technique
    Im, Tae Hyung
    Eom, Il Kyu
    Kim, Yoo Shin
    PROCEEDINGS OF THE NINTH IASTED INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING, 2007, : 84 - 88
  • [5] Moving-Object Intrusion Detection Based on Retinex-Enhanced Method
    Chen, Chao-Ho
    Chen, Tsong-Yi
    Lin, Yu-Chun
    Hu, Wu-Chih
    2014 TENTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING (IIH-MSP 2014), 2014, : 281 - 284
  • [6] Spatiotemporal segmentation method of moving-object using boundary evaluation in infrared video
    Min, C. (chaobomin@gmail.com), 1600, Chinese Society of Astronautics (42):
  • [7] High Performance of Moving-Object Detection by GPGPU based on Pipelining
    Kameyama, Satomi
    Miura, Yasuyuki
    2017 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW), 2017,
  • [8] Single change detection-based moving object segmentation by using Daubechies complex wavelet transform
    Khare, Manish
    Srivastava, Rajneesh Kumar
    Khare, Ashish
    IET IMAGE PROCESSING, 2014, 8 (06) : 334 - 344
  • [9] Accurate and Robust Moving-Object Segmentation for Telepresence Systems
    Huang, Meiyu
    Chen, Yiqiang
    Ji, Wen
    Miao, Chunyan
    ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2015, 6 (02)
  • [10] Moving-object Detection Based on Sparse Representation and Dictionary Learning
    Huang, Xiaosheng
    Wu, Feng
    Huang, Ping
    AASRI CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND BIOINFORMATICS, 2012, 1 : 492 - 497