An Air-to-Ground Target Detecting and Tracking Method Based on Multi-feature Fusion

ZHANG Yanguo; LI Qing; YU Fei; LIU Hengzhi

doi:10.3969/j.issn.1671-637x.2019.06.002

Journals >Electronics Optics & Control >Volume 26 >Issue 6 >Page 6 > Article

Electronics Optics & Control
Vol. 26, Issue 6, 6 (2019)

An Air-to-Ground Target Detecting and Tracking Method Based on Multi-feature Fusion

ZHANG Yanguo, LI Qing, YU Fei, and LIU Hengzhi

Author Affiliations

[in Chinese]

show less

DOI: 10.3969/j.issn.1671-637x.2019.06.002 Cite this Article

ZHANG Yanguo, LI Qing, YU Fei, LIU Hengzhi. An Air-to-Ground Target Detecting and Tracking Method Based on Multi-feature Fusion[J]. Electronics Optics & Control, 2019, 26(6): 6 Copy Citation Text

show less

References

CLP Journals

[1] LIU Wenhui, CHAO Yuan, TANG Hanbing, XU Peng. A Review on Visual Target Detection and Tracking Methods for Mobile Robot[J]. Electronics Optics & Control, 2022, 29(4): 59

[2] SONG Wei, LI Chunju. Adaptive Random Weighted Cubature Kalman Filter and Interactive Multiple Model Algorithm for Target Tracking[J]. Electronics Optics & Control, 2023, 30(10): 46

ZHANG Yanguo, LI Qing, YU Fei, LIU Hengzhi. An Air-to-Ground Target Detecting and Tracking Method Based on Multi-feature Fusion[J]. Electronics Optics & Control, 2019, 26(6): 6

Download Citation

Tools

Save the article for my favorites

Paper Information