Moving object detection by a novel spatio-temporal segmentation

被引:1
|
作者
Jia, HT [1 ]
Xie, M [1 ]
机构
[1] Univ Elect Sci & Technol China, Chengdu 610054, Peoples R China
来源
关键词
moving object detection; temporal and spatial segmentation; difference frame; phase correlation; active contour module;
D O I
10.1117/12.603105
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
On the moving object detection there is a new method which unites the temporal and spatial segmentation. Simultaneously this paper also proposal an automatic video object segmentation using the active contour module. The temporal segmentation adopts the reformative difference frame and phase correlation method, and the spatial segmentation uses the active contour module. This algorithm proposal a new viewpoint that only the external boundaries are the stable feather which must be extracted form the difference frame. This makes the algorithm achieve a high robust. And the same time temporal segmentation gives the active contour module an initialization of the edge points. Then the algorithm will refine the edge points through the energy equation iteratively. Though the simulation, this algorithm can get perfect result.
引用
收藏
页码:312 / 320
页数:9
相关论文
共 50 条
  • [31] Unsupervised Spatio-Temporal Segmentation for Extracting Moving Objects in Video Sequences
    李仁杰
    余松煜
    王向文
    JournalofShanghaiJiaotongUniversity(Science), 2009, 14 (02) : 154 - 161
  • [32] Unified Spatio-Temporal Dynamic Routing for Efficient Video Object Segmentation
    Dang, Jisheng
    Zheng, Huicheng
    Xu, Xiaohao
    Guo, Yulan
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (05) : 4512 - 4526
  • [33] Probabilistic spatio-temporal video object segmentation incorporating shape information
    Ahmed, Rakib
    Karmakar, Gour C.
    Dooley, Laurence S.
    2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13, 2006, : 1893 - 1896
  • [34] A New Spatio-Temporal Saliency-Based Video Object Segmentation
    Zhengzheng Tu
    Andrew Abel
    Lei Zhang
    Bin Luo
    Amir Hussain
    Cognitive Computation, 2016, 8 : 629 - 647
  • [35] Spatio-temporal compression for semi-supervised video object segmentation
    Ji, Chuanjun
    Chen, Yadang
    Yang, Zhi-Xin
    Wu, Enhua
    VISUAL COMPUTER, 2023, 39 (10): : 4929 - 4942
  • [36] A New Spatio-Temporal Saliency-Based Video Object Segmentation
    Tu, Zhengzheng
    Abel, Andrew
    Zhang, Lei
    Luo, Bin
    Hussain, Amir
    COGNITIVE COMPUTATION, 2016, 8 (04) : 629 - 647
  • [37] Object-based video segmentation using spatio-temporal energy
    Bao, HQ
    Zhang, ZY
    2004 7TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS 1-3, 2004, : 1260 - 1263
  • [38] Automatic video object segmentation algorithm based on spatio-temporal information
    Zhang, Xiao-Bo
    Liu, Wen-Yao
    Lu, Da-Wei
    Guangdianzi Jiguang/Journal of Optoelectronics Laser, 2008, 19 (03): : 384 - 387
  • [39] Stereo-Based Object Segmentation Combining Spatio-Temporal Information
    Ma, Yingdong
    Chen, Qian
    ADVANCES IN VISUAL COMPUTING, PT III, 2010, 6455 : 229 - 238
  • [40] Spatio-temporal compression for semi-supervised video object segmentation
    Chuanjun Ji
    Yadang Chen
    Zhi-Xin Yang
    Enhua Wu
    The Visual Computer, 2023, 39 : 4929 - 4942