Moving point target detection based on spatiotemporal image

被引:0
|
作者
Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China [1 ]
不详 [2 ]
机构
来源
Guangdian Gongcheng | 2007年 / 1卷 / 23-26+36期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
In view of the limitation existing in detecting moving point targets in complex background, a new detection method with detailed theory based on spatiotemporal image is presented. In 2D spatiotemporal image, moving object shows finite line segment and complicated texture of background displays infinite straight line. In accordance with this characteristics, moving objects can be effectively extracted with local auto-adaptive threshold, and the trajectory of moving object can be gotten by applying projective transformation from spatiotemporal space to geography space. Experimental results show that the method can effectively detect low SNR point targets in complex background at the speed of less than 1pixel/frame. Furthermore, multi-target detection can be performed simultaneously.
引用
收藏
相关论文
共 50 条
  • [1] Clutter Suppression Method Based on Spatiotemporal Anisotropic Diffusion for Moving Point Target Detection in IR Image Sequence
    Xiechang Sun
    Tianxu Zhang
    Luxin Yan
    Meng Li
    [J]. Journal of Infrared, Millimeter, and Terahertz Waves, 2009, 30 : 496 - 512
  • [2] Clutter Suppression Method Based on Spatiotemporal Anisotropic Diffusion for Moving Point Target Detection in IR Image Sequence
    Sun, Xiechang
    Zhang, Tianxu
    Yan, Luxin
    Li, Meng
    [J]. JOURNAL OF INFRARED MILLIMETER AND TERAHERTZ WAVES, 2009, 30 (05) : 496 - 512
  • [3] Moving point target detection based on clutter suppression using spatiotemporal local increment coding
    Deng, Lizhen
    Zhu, Hu
    [J]. ELECTRONICS LETTERS, 2015, 51 (08) : 626 - 627
  • [4] Research on dim point moving target detection in infrared image
    Yu, Jing-Song
    Wan, Jiu-Qing
    Gao, Xiu-Lin
    [J]. Binggong Xuebao/Acta Armamentarii, 2008, 29 (12): : 1518 - 1521
  • [5] Moving target detection algorithm based on image saliency detection
    Wang, Bin
    [J]. Journal of Information and Computational Science, 2015, 12 (14): : 5431 - 5435
  • [6] The predicting and matching detection algorithm of moving point target in image sequences
    Zhang, B
    Lu, HZ
    [J]. PROCEEDINGS OF 2003 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS & SIGNAL PROCESSING, PROCEEDINGS, VOLS 1 AND 2, 2003, : 1151 - 1154
  • [7] A WEAK MOVING POINT TARGET DETECTION METHOD BASED ON HIGH FRAME RATE IMAGE SEQUENCES
    Wu, Yong
    Yang, Zheng
    Niu, Wenlong
    Zheng, Wei
    [J]. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 7066 - 7069
  • [8] Underwater Moving Target Detection Based on Image Enhancement
    Zhou, Yan
    Li, Qingwu
    Huo, Guanying
    [J]. ADVANCES IN NEURAL NETWORKS, PT II, 2017, 10262 : 427 - 436
  • [9] New detection algorithm for dim point moving target in IR-image sequence based on an Image frames transformation
    Abdo, Mohamed M.
    Li Hongzuo
    [J]. INTERNATIONAL SYMPOSIUM ON PHOTOELECTRONIC DETECTION AND IMAGING 2013: INFRARED IMAGING AND APPLICATIONS, 2013, 8907
  • [10] Improvement to projection detection of slowly moving point target in infrared image sequences
    Chen, F
    Jing, ZL
    Li, JX
    [J]. JOURNAL OF INFRARED AND MILLIMETER WAVES, 2003, 22 (02) : 96 - 100