TY - GEN
T1 - Tracking of Moving Target Based on SiamMask for Video SAR System
AU - Liang, Zihan
AU - Liang, Chaojie
AU - Zhang, Yun
AU - Mu, Huilin
AU - Li, Gaopeng
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - Video Synthetic Aperture Radar (Video SAR) technology has developed rapidly in recent years, realizing the automatic tracking of moving targets has gradually become the focus of research in the field of SAR. In this work, 'SiamMask', the newly included algorithm in CVPR2019 with the highest accuracy in the field of computer vision, is applied to the tracking of Video SAR images. Firstly, the high-quality SAR images of the imaging area are obtained, and then on the basis of these data, the initial position of the moving target is acquired. Finally, the effect of SiamMask in tracking teat data is compared with the effect of the traditional tracking algorithm - KCF. The result shows that SiamMask algorithm performs better than the traditional one in dealing with test data. In addition, since the moving target's shadow does not defocus or shift, it can be used to assist tracking. The shadow data set used also verifies the feasibility of tracking moving target's shadow, which provides ideas for subsequent research.
AB - Video Synthetic Aperture Radar (Video SAR) technology has developed rapidly in recent years, realizing the automatic tracking of moving targets has gradually become the focus of research in the field of SAR. In this work, 'SiamMask', the newly included algorithm in CVPR2019 with the highest accuracy in the field of computer vision, is applied to the tracking of Video SAR images. Firstly, the high-quality SAR images of the imaging area are obtained, and then on the basis of these data, the initial position of the moving target is acquired. Finally, the effect of SiamMask in tracking teat data is compared with the effect of the traditional tracking algorithm - KCF. The result shows that SiamMask algorithm performs better than the traditional one in dealing with test data. In addition, since the moving target's shadow does not defocus or shift, it can be used to assist tracking. The shadow data set used also verifies the feasibility of tracking moving target's shadow, which provides ideas for subsequent research.
KW - KCF
KW - SiamMask
KW - Video SAR
KW - moving target tracking
KW - shadow information
UR - https://www.scopus.com/pages/publications/85091945367
U2 - 10.1109/ICSIDP47821.2019.9173432
DO - 10.1109/ICSIDP47821.2019.9173432
M3 - 会议稿件
AN - SCOPUS:85091945367
T3 - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
BT - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Y2 - 11 December 2019 through 13 December 2019
ER -