Real-time Detection and Tracking Method of Landmark Based on UAV Visual Navigation
A real-time detection and tracking method of landmark based for UAV visual navigation and fixed landing was proposed. This method used the SVM classification algorithm to train the offline classifier based on SURF-BoW features extracted from samples, which can recognize the landing landmark accurate...
| Format: | Article |
|---|---|
| Language: | zho |
| Published: |
EDP Sciences
2018-04-01
|
| Series: | Xibei Gongye Daxue Xuebao |
| Subjects: | |
| Online Access: | https://www.jnwpu.org/articles/jnwpu/pdf/2018/02/jnwpu2018362p294.pdf |
| _version_ | 1827802565788565504 |
|---|---|
| collection | DOAJ |
| description | A real-time detection and tracking method of landmark based for UAV visual navigation and fixed landing was proposed. This method used the SVM classification algorithm to train the offline classifier based on SURF-BoW features extracted from samples, which can recognize the landing landmark accurately and complete the initialization of the tracker. Afterwards, tracked the landmark via the improved median flow algorithm to ensure the reliability and integrity of the tracking target. Finally, based on the classifier and the principle of similarity between two adjacent frames' target, this paper designed a target re-search algorithm to ensure that the target can be retrieved quickly even if the target is lost or the target tracking fails, which makes the entire set of algorithm track the target accurately for a long time. The experimental results show that the proposed algorithm has good tracking performance under the conditions of the change of target scale, illumination changes and motion blur. |
| first_indexed | 2024-03-11T20:41:48Z |
| format | Article |
| id | doaj.art-d924a9f8098d4e3f8d01b347877832df |
| institution | Directory Open Access Journal |
| issn | 1000-2758 2609-7125 |
| language | zho |
| last_indexed | 2024-03-11T20:41:48Z |
| publishDate | 2018-04-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Xibei Gongye Daxue Xuebao |
| spelling | doaj.art-d924a9f8098d4e3f8d01b347877832df2023-10-02T01:56:51ZzhoEDP SciencesXibei Gongye Daxue Xuebao1000-27582609-71252018-04-0136229430110.1051/jnwpu/20183620294jnwpu2018362p294Real-time Detection and Tracking Method of Landmark Based on UAV Visual Navigation01234School of Mechanical Engineering, Northwestern Polytechnical UniversitySchool of Automation, Northwestern Polytechnical UniversitySchool of Automation, Northwestern Polytechnical UniversityNational Key Laboratory of Special Technology on UAV, Northwestern Polytechnical UniversitySchool of Mechanical Engineering, Northwestern Polytechnical UniversityA real-time detection and tracking method of landmark based for UAV visual navigation and fixed landing was proposed. This method used the SVM classification algorithm to train the offline classifier based on SURF-BoW features extracted from samples, which can recognize the landing landmark accurately and complete the initialization of the tracker. Afterwards, tracked the landmark via the improved median flow algorithm to ensure the reliability and integrity of the tracking target. Finally, based on the classifier and the principle of similarity between two adjacent frames' target, this paper designed a target re-search algorithm to ensure that the target can be retrieved quickly even if the target is lost or the target tracking fails, which makes the entire set of algorithm track the target accurately for a long time. The experimental results show that the proposed algorithm has good tracking performance under the conditions of the change of target scale, illumination changes and motion blur.https://www.jnwpu.org/articles/jnwpu/pdf/2018/02/jnwpu2018362p294.pdfmedian flowcontext informationsurf-bow featuresvisual navigationreal-time tracking |
| spellingShingle | Real-time Detection and Tracking Method of Landmark Based on UAV Visual Navigation Xibei Gongye Daxue Xuebao median flow context information surf-bow features visual navigation real-time tracking |
| title | Real-time Detection and Tracking Method of Landmark Based on UAV Visual Navigation |
| title_full | Real-time Detection and Tracking Method of Landmark Based on UAV Visual Navigation |
| title_fullStr | Real-time Detection and Tracking Method of Landmark Based on UAV Visual Navigation |
| title_full_unstemmed | Real-time Detection and Tracking Method of Landmark Based on UAV Visual Navigation |
| title_short | Real-time Detection and Tracking Method of Landmark Based on UAV Visual Navigation |
| title_sort | real time detection and tracking method of landmark based on uav visual navigation |
| topic | median flow context information surf-bow features visual navigation real-time tracking |
| url | https://www.jnwpu.org/articles/jnwpu/pdf/2018/02/jnwpu2018362p294.pdf |