| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0533751 |
| utime |
20240111141043.3 |
| mtime |
20201102235959.9 |
| SCOPUS |
85094851129 |
| DOI |
10.1109/CVPR42600.2020.00681 |
| title
(primary) (eng) |
Sub-Frame Appearance and 6D Pose Estimation of Fast Moving Objects |
| specification |
| page_count |
9 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0533750 |
| ISBN |
978-1-7281-7169-2 |
| ISSN |
1063-6919 |
| title
|
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |
| page_num |
6777-6785 |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2020 |
|
|
| keyword |
tracking |
| keyword |
deblurring |
| keyword |
matting |
| keyword |
deblatting |
| author
(primary) |
| ARLID |
cav_un_auth*0352947 |
| name1 |
Rozumnyi |
| name2 |
D. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0293863 |
| name1 |
Kotera |
| name2 |
Jan |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101209 |
| name1 |
Šroubek |
| name2 |
Filip |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0075799 |
| name1 |
Matas |
| name2 |
J. |
| country |
CZ |
|
| source |
|
| cas_special |
| project |
| project_id |
GA18-05360S |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0361425 |
|
| abstract
(eng) |
We have proposed a method for sub-frame appearance and 6D pose estimation of fast moving objects. We propose a novel method that tracks fast moving objects, mainly non-uniform spherical, in full 6 degrees of freedom, estimating simultaneously their 3D motion trajectory, 3D pose and object appearance changes with a time step that is a fraction of the video frame exposure time. The sub-frame object localization and appearance estimation allows realistic temporal super-resolution and precise shape estimation. The method, called TbD-3D (Tracking by Deblatting in 3D) relies on a novel reconstruction algorithm which solves a piece-wise deblurring and matting problem. The 3D rotation is estimated by minimizing the reprojection error. As a second contribution, we present a new challenging dataset with fast moving objects that change their appearance and distance to the camera. High-speed camera recordings with zero lag between frame exposures were used to generate videos with different frame rates annotated with ground-truth trajectory and pose. |
| action |
| ARLID |
cav_un_auth*0398417 |
| name |
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |
| dates |
20200616 |
| mrcbC20-s |
20200618 |
| place |
Seattle |
| country |
US |
|
| RIV |
JD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20206 |
| reportyear |
2021 |
| num_of_auth |
4 |
| mrcbC52 |
4 A sml 4as 20231122145221.1 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0312101 |
| confidential |
S |
| contract |
| name |
IEEE COPYRIGHT AND CONSENT FORM |
| date |
20200311 |
|
| arlyear |
2020 |
| mrcbTft |
\nSoubory v repozitáři: sroubek-0533751-CopyrightReceipt1.pdf |
| mrcbU14 |
85094851129 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU56 |
pdf 1MB |
| mrcbU63 |
cav_un_epca*0533750 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 978-1-7281-7169-2 1063-6919 2575-7075 6777 6785 Piscataway IEEE 2020 |
|