Moving target detection based on edge optical flow from satellite videos

Haichao Li; Liang Chen; Feng Li

doi:10.1117/12.2500519

2 November 2018 Moving target detection based on edge optical flow from satellite videos

Haichao Li, Liang Chen, Feng Li

Proceedings Volume 10817, Optoelectronic Imaging and Multimedia Technology V; 108170G (2018) https://doi.org/10.1117/12.2500519
Event: SPIE/COS Photonics Asia, 2018, Beijing, China

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.

Citation Download Citation

Haichao Li, Liang Chen, and Feng Li "Moving target detection based on edge optical flow from satellite videos", Proc. SPIE 10817, Optoelectronic Imaging and Multimedia Technology V, 108170G (2 November 2018); https://doi.org/10.1117/12.2500519

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KEYWORDS

Optical flow

Video

Satellites

Video surveillance

Optical tracking

Detection and tracking algorithms

Edge detection

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