Archangel: A Hybrid UAV-Based Human Detection Benchmark With Position and Pose Metadata
Learning to detect objects, such as humans, in imagery captured by an unmanned aerial vehicle (UAV) usually suffers from tremendous variations caused by the UAV’s position towards the objects. In addition, existing UAV-based benchmark datasets do not provide adequate dataset metadata, whi...
Main Authors: | Yi-Ting Shen, Yaesop Lee, Heesung Kwon, Damon M. Conover, Shuvra S. Bhattacharyya, Nikolas Vale, Joshua D. Gray, G. Jeremy Leong, Kenneth Evensen, Frank Skirlo |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10196325/ |
Similar Items
-
UAV Detection and Tracking in Urban Environments Using Passive Sensors: A Survey
by: Xiaochen Yan, et al.
Published: (2023-10-01) -
The Object detection by the combination of generic roi extractor and dynamic R-CNN with side-aware boundary localization in aerial images
by: Nguyen Bao Tran, et al.
Published: (2023-03-01) -
VSAI: A Multi-View Dataset for Vehicle Detection in Complex Scenarios Using Aerial Images
by: Jinghao Wang, et al.
Published: (2022-06-01) -
YOLOD: A Target Detection Method for UAV Aerial Imagery
by: Xudong Luo, et al.
Published: (2022-07-01) -
Beyond Human Detection: A Benchmark for Detecting Common Human Posture
by: Yongxin Li, et al.
Published: (2023-09-01)