Abstract
Towards the actualization of an air bag system for the UAV's crash, this paper proposes a method for estimating the UAV's crash site from the video sequence acquired by the camera attached to the UAV. The crash point can be considered to correspond to the divergence point of the optical flows. In the accumulator, the cells at which the optical flows (straight lines) pass through are incremented by one. After performing this process for all the optical flows, the cell with the largest vote is obtained as the crash point (divergence point) in the image plane. Experiments using a hand held camera show that the accuracy of estimating the crash site is increased as the camera approaches the target plane. Overall, the experimental results are promising.
| Original language | English |
|---|---|
| Article number | S25 |
| Journal | IS and T International Symposium on Electronic Imaging Science and Technology |
| Volume | Part F138654 |
| DOIs | |
| Publication status | Published - 2018 Jan 1 |
| Event | 16th Computational Imaging Conference, COMIG 2018 - Burlingame, United States Duration: 2018 Jan 28 → 2018 Feb 1 |
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ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Human-Computer Interaction
- Software
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics
Cite this
Estimating the UAVs' crash point based on optical flows' voting in the image plane. / Hatano, Yusaku; Nagahashi, Hiroshi; Yi, Chen; Ohya, Jun.
In: IS and T International Symposium on Electronic Imaging Science and Technology, Vol. Part F138654, S25, 01.01.2018.Research output: Contribution to journal › Conference article
}
TY - JOUR
T1 - Estimating the UAVs' crash point based on optical flows' voting in the image plane
AU - Hatano, Yusaku
AU - Nagahashi, Hiroshi
AU - Yi, Chen
AU - Ohya, Jun
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Towards the actualization of an air bag system for the UAV's crash, this paper proposes a method for estimating the UAV's crash site from the video sequence acquired by the camera attached to the UAV. The crash point can be considered to correspond to the divergence point of the optical flows. In the accumulator, the cells at which the optical flows (straight lines) pass through are incremented by one. After performing this process for all the optical flows, the cell with the largest vote is obtained as the crash point (divergence point) in the image plane. Experiments using a hand held camera show that the accuracy of estimating the crash site is increased as the camera approaches the target plane. Overall, the experimental results are promising.
AB - Towards the actualization of an air bag system for the UAV's crash, this paper proposes a method for estimating the UAV's crash site from the video sequence acquired by the camera attached to the UAV. The crash point can be considered to correspond to the divergence point of the optical flows. In the accumulator, the cells at which the optical flows (straight lines) pass through are incremented by one. After performing this process for all the optical flows, the cell with the largest vote is obtained as the crash point (divergence point) in the image plane. Experiments using a hand held camera show that the accuracy of estimating the crash site is increased as the camera approaches the target plane. Overall, the experimental results are promising.
UR - http://www.scopus.com/inward/record.url?scp=85052878958&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85052878958&partnerID=8YFLogxK
U2 - 10.2352/ISSN.2470-1173.2018.15.COIMG-402
DO - 10.2352/ISSN.2470-1173.2018.15.COIMG-402
M3 - Conference article
AN - SCOPUS:85052878958
VL - Part F138654
JO - IS and T International Symposium on Electronic Imaging Science and Technology
JF - IS and T International Symposium on Electronic Imaging Science and Technology
SN - 2470-1173
M1 - S25
ER -