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
  • [21] A Moving Object Spatial Index for Spatio-Temporal Data Stream
    Yang L.-H.
    Shen D.-H.
    Fan Y.-L.
    Gao N.
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2021, 49 (05): : 992 - 1000
  • [22] Boundary extraction of moving object based on spatio-temporal information
    Mao, Ling
    Xie, Mei
    Li, Jia
    2007 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1 AND 2: VOL 1: COMMUNICATION THEORY AND SYSTEMS; VOL 2: SIGNAL PROCESSING, COMPUTATIONAL INTELLIGENCE, CIRCUITS AND SYSTEMS, 2007, : 796 - +
  • [23] Interactive object extraction using spatio-temporal video segmentation
    Okubo, Hidehiko, 1600, Inst. of Image Information and Television Engineers (68):
  • [24] An FPGA-based implementation of spatio-temporal object segmentation
    Ratnayake, Kumara
    Amer, Aishy
    2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS, 2006, : 3265 - +
  • [25] Video object segmentation using spatio-temporal deep network
    Ramaswamy, Akshaya
    Gubbi, Jayavardhana
    Balamuralidhar, P.
    2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2020,
  • [26] Tracking moving objects as spatio-temporal boundary detection
    Mitiche, A
    Feghali, R
    Mansouri, A
    FIFTH IEEE SOUTHWEST SYMPOSIUM ON IMAGE ANALYSIS AND INTERPRETATION, PROCEEDINGS, 2002, : 106 - 110
  • [27] Spatio-Temporal Closed-Loop Object Detection
    Galteri, Leonardo
    Seidenari, Lorenzo
    Bertini, Marco
    Del Bimbo, Alberto
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 26 (03) : 1253 - 1263
  • [28] Spatio-Temporal Object Recognition
    De Geest, Roeland
    Deboeverie, Francis
    Philips, Wilfried
    Tuytelaars, Tinne
    ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, ACIVS 2015, 2015, 9386 : 681 - 692
  • [29] Efficient spatio-temporal segmentation for extracting moving objects in video sequences
    Li, Renjie
    Yu, Songyu
    Yang, Xiaokang
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2007, 53 (03) : 1161 - 1167
  • [30] Unsupervised spatio-temporal segmentation for extracting moving objects in video sequences
    Li R.-J.
    Yu S.-Y.
    Wang X.-W.
    Journal of Shanghai Jiaotong University (Science), 2009, 14 (2) : 154 - 161