| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0453742 |
| utime |
20240103211557.4 |
| mtime |
20160112235959.9 |
| SCOPUS |
84984581019 |
| WOS |
000371804300197 |
| DOI |
10.1063/1.4938976 |
| title
(primary) (eng) |
Automated detection of meteors in observed image sequence |
| specification |
| page_count |
4 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0453741 |
| ISBN |
978-0-7354-1349-8 |
| ISSN |
0094-243X |
| title
|
International conference of computational methods in sciences and engineering 2015 |
| publisher |
| place |
Melville |
| name |
American Institute of Physics |
| year |
2015 |
|
| editor |
|
|
| keyword |
meteor detection |
| keyword |
statistical moments |
| keyword |
Hough transformation |
| author
(primary) |
| ARLID |
cav_un_auth*0100099 |
| full_dept (cz) |
Sluneční oddělení |
| full_dept (eng) |
Department of Solar Physics |
| full_dept |
Department of Solar Physics - Team 1 |
| name1 |
Šimberová |
| name2 |
Stanislava |
| institution |
ASU-R |
| fullinstit |
Astronomický ústav AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101203 |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| name1 |
Suk |
| name2 |
Tomáš |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0314467 |
| project_id |
GA15-16928S |
| agency |
GA ČR |
|
| abstract
(eng) |
We propose a new detection technique based on statistical characteristics of images in the video sequence. These characteristics displayed in time enable to catch any bright track during the whole sequence. We applied our method to the image datacubes that are created from camera pictures of the night sky. Meteor flying through the Earth’s atmosphere leaves a light trail lasting a few seconds on the sky background. We developed a special technique to recognize this event automatically in the complete observed video sequence. For further analysis leading to the precise recognition of object we suggest to apply Fourier and Hough transformations. |
| action |
| ARLID |
cav_un_auth*0325124 |
| name |
International conference of computational methods in sciences and engineering 2015 |
| dates |
20150320 |
| place |
Athens |
| country |
GR |
| mrcbC20-s |
20150323 |
|
| RIV |
IN |
| reportyear |
2016 |
| mrcbC55 |
UTIA-B IN |
| inst_support |
RVO:67985815 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0254470 |
| confidential |
S |
| mrcbC83 |
RIV/67985815:_____/15:00453742!RIV16-AV0-67985815 191659448 oprava kódu vědeckého oboru RIV ASU-R |
| mrcbT16-s |
0.160 |
| mrcbT16-E |
Q4 |
| arlyear |
2015 |
| mrcbU14 |
84984581019 SCOPUS |
| mrcbU34 |
000371804300197 WOS |
| mrcbU63 |
cav_un_epca*0453741 International conference of computational methods in sciences and engineering 2015 American Institute of Physics 2015 Melville 978-0-7354-1349-8 AIP Conference proceedings 1702 0094-243X 190009/1-190009/4 |
| mrcbU67 |
340 Simos T.E. |
|