2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) 2022
DOI: 10.1109/itaic54216.2022.9836953
|View full text |Cite
|
Sign up to set email alerts
|

Remote Sensing Image Object Detection Based on Oriented Bounding Box and Yolov5

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 16 publications
0
2
0
Order By: Relevance
“…Figure 5 shows the precision for each camera pair. A significant increase can be seen for camera pairs (1,2), (2,3), (4,5), (5,6), and (6,7) which contain crowded areas. The improvement is, as shown in Figure 8, likely due to the fact that rotated bounding boxes offer more accurate mapping with less overlap than regular bounding boxes.…”
Section: Resultsmentioning
confidence: 97%
See 1 more Smart Citation
“…Figure 5 shows the precision for each camera pair. A significant increase can be seen for camera pairs (1,2), (2,3), (4,5), (5,6), and (6,7) which contain crowded areas. The improvement is, as shown in Figure 8, likely due to the fact that rotated bounding boxes offer more accurate mapping with less overlap than regular bounding boxes.…”
Section: Resultsmentioning
confidence: 97%
“…To the best of our knowledge, rotated bounding boxes have not been used for multi-camera object tracking, though they have been used for single-camera object tracking 4 or object detection. 5 The contributions of this paper include: 1) Proposing a method for overhead multi-camera tracking of dairy cows using rotated bounding boxes. 2) Demonstrating the efficacy of rotated bounding boxes in multi-camera multi-object tracking, as accuracy is enhanced through the association the same object across camera views.…”
Section: Introductionmentioning
confidence: 99%