| Paper Abstract and Keywords |
| Presentation |
2023-02-22 14:00
Hierarchical Minimum-Sized Object Detection Method using Clustering Algorithm for UAV Autonomous Flight
Yusei Horikawa, Makoto Sugaya, Tetsuya Matsumura (Nihon Univ) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This paper describes an efficient minimum-sized object detection method in high-Resolution images for UAV autonomous flight. The proposed algorithm features a three-layers structure based on YOLOv5 architecture. Wide area detection extracts comprehensive features from inputted Full-HD images. Local area detection extracts detailed features from minimum-sized object-dense areas detected from the clustering algorithm. Finally, these detection results are integrated. This algorithm basically detects large and small objects and improves the performance of minimum-sized object detection. In evaluations with the VisDrone dataset that is basically consisted of high-resolution images, our algorithm confirms superior to conventional methods in minimum-sized object detection. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
UAV / Autonomous Flight / Object Detection / High-Resolution Image / Deep Learning / CNN / Clustering / |
| Reference Info. |
ITE Tech. Rep., vol. 47, no. 6, ME2023-51, pp. 235-238, Feb. 2023. |
| Paper # |
ME2023-51 |
| Date of Issue |
2023-02-14 (MMS, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
MMS ME AIT IEICE-IE IEICE-ITS |
| Conference Date |
2023-02-21 - 2023-02-22 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hokkaido Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Image Processing, etc. |
| Paper Information |
| Registration To |
ME |
| Conference Code |
2023-02-MMS-ME-AIT-IE-ITS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Hierarchical Minimum-Sized Object Detection Method using Clustering Algorithm for UAV Autonomous Flight |
| Sub Title (in English) |
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| Keyword(1) |
UAV |
| Keyword(2) |
Autonomous Flight |
| Keyword(3) |
Object Detection |
| Keyword(4) |
High-Resolution Image |
| Keyword(5) |
Deep Learning |
| Keyword(6) |
CNN |
| Keyword(7) |
Clustering |
| Keyword(8) |
|
| 1st Author's Name |
Yusei Horikawa |
| 1st Author's Affiliation |
Nihon University (Nihon Univ) |
| 2nd Author's Name |
Makoto Sugaya |
| 2nd Author's Affiliation |
Nihon University (Nihon Univ) |
| 3rd Author's Name |
Tetsuya Matsumura |
| 3rd Author's Affiliation |
Nihon University (Nihon Univ) |
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| Speaker |
Author-1 |
| Date Time |
2023-02-22 14:00:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
MMS2023-31, ME2023-51, AIT2023-31 |
| Volume (vol) |
vol.47 |
| Number (no) |
no.6 |
| Page |
pp.235-238 |
| #Pages |
4 |
| Date of Issue |
2023-02-14 (MMS, ME, AIT) |