Hardware-aware Moving Objects Detection in Satellite Image

被引：0

作者：

Lee, Pei-Jun ^{[1
]}

Chiu, Zheng-Kai ^{[1
]}

Liu, Kuang-Zhe ^{[1
]}

Lin, Albert ^{[2
]}

Chen, Chia-Ray ^{[2
]}

机构：

[1] Natl Chi Nan Univ, Elect Engn Dept, Puli, Taiwan

[2] Natl Space Org, Hsinchu, Taiwan

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN (ICCE-TW) | 2018年

关键词：

image processing; Harris detection; optical flow; Kalman filter;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes an effective way to detect the moving objects in the satellite image. Since the moving objects cannot determine first in the satellite, the corner detection algorithm is applied to obtain the feature of objects. Next, the optical flow algorithm is used to estimate motion vector of objects. In order to speed up the computation and reduce the resource of the hardware, Kalman filter is utilized after the optical flow results. According to the result, objects motion can be detected effectively.

引用

页数：2

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