Paper Info
Title
Real-time Multicopter Detection Using Pixel-level Digital Filters for Frame-Interpolated High-frame-rate Images
Abstract
This study proposes a fast algorithm for vision-based vibration source localization that can detect vibration sources at hundreds of Hertz by inspecting time-varying brightness signals at each pixel in high frame rate (HFR) images. Our algorithm can significantly reduce the computational complexity of pixel-level digital filters for vibration source localization by virtually adjusting the sampling rate to twice the vibration frequency of a target object to be tracked using downsampled HFR images with frame interpolation. We confirmed that a target object vibrating at 200 Hz or less can be localized in real time with pixel-level digital filters using \pmb512×\pmb512 images at 1000 fps without degrading the filter properties when our algorithm was implemented by software on a personal computer. The effectiveness of our algorithm was demonstrated by showing the experimental results for a flying multicopter with four dual-blade propellers rotating at 95 rps in an outdoor location.
Year
DOI
Venue
2018
10.1109/AIM.2018.8452345
2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)
Keywords
Field
DocType
pixel-level digital filters,frame-interpolated high-frame-rate images,vision-based vibration source localization,time-varying brightness signals,sampling rate,target object,frame interpolation,vibration frequency,real-time multicopter detection,vibration sources detection,HFR images,frequency 200.0 Hz
Computer vision,Digital filter,Simulation,Computer science,Sampling (signal processing),Interpolation,Personal computer,Frame rate,Motion interpolation,Artificial intelligence,Pixel,Brightness
Conference
ISSN
ISBN
Citations 
2159-6255
978-1-5386-1855-4
0
PageRank 
References 
Authors
0.34
12
4
Name
Order
Citations
PageRank
Kohei Shimasaki102.37
Mingjun Jiang242.47
Takeshi Takaki322238.04
Idaku Ishii435564.37