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Proceedings Paper

Moving target detection based on edge optical flow from satellite videos
Author(s): Haichao Li; Liang Chen; Feng Li
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Paper Abstract

Moving target tracking from high resolution satellite videos has tremendous potential applications such as visual surveillance, traffic monitoring and so on. This paper proposed a moving target detection algorithm based on the optical flow of edge points for the video sequences in dynamic scene without image registration. Given two consecutive frames, they are firstly processed following with Canny edge operator. And then, the displacements of each pair of edges are computed based on bidirectional optical flow method, which provides high speed and precision. Thirdly, the displacement histogram of all the matched edges is established, which is used to eliminate the influence of the background for the images without registration. Finally, the edge points of moving target are matched based on edge constraint, and the moving target region is determined. Experiment results show that our method has an excellent performance of target tracking for the high resolution satellite videos without image registration.

Paper Details

Date Published: 2 November 2018
PDF: 6 pages
Proc. SPIE 10817, Optoelectronic Imaging and Multimedia Technology V, 108170G (2 November 2018); doi: 10.1117/12.2500519
Show Author Affiliations
Haichao Li, Qian Xuesen Lab. of Space Technology (China)
Liang Chen, Qian Xuesen Lab. of Space Technology (China)
Feng Li, Qian Xuesen Lab. of Space Technology (China)


Published in SPIE Proceedings Vol. 10817:
Optoelectronic Imaging and Multimedia Technology V
Qionghai Dai; Tsutomu Shimura, Editor(s)

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