| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0519063 |
| utime |
20240103223336.0 |
| mtime |
20200107235959.9 |
| SCOPUS |
85082437719 |
| DOI |
10.1109/ICCVW.2019.00283 |
| title
(primary) (eng) |
Intra-Frame Object Tracking by Deblatting |
| specification |
| page_count |
10 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0519174 |
| ISBN |
978-1-7281-5024-6 |
| ISSN |
2473-9936 |
| title
|
Proceedings of the IEEE International Conference on Computer Vision 2019 (ICCV 2019) |
| page_num |
2300-2309 |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2019 |
|
|
| keyword |
visual object tracking |
| keyword |
fast moving objects |
| keyword |
deblurring |
| author
(primary) |
| ARLID |
cav_un_auth*0293863 |
| name1 |
Kotera |
| name2 |
Jan |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept (eng) |
Image processing |
| department (cz) |
ZOI |
| department (eng) |
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*0352947 |
| name1 |
Rozumnyi |
| name2 |
D. |
| country |
CZ |
|
| 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 |
|
| project |
| project_id |
AP1701 |
| agency |
AV ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0349658 |
|
| abstract
(eng) |
Objects moving at high speed along complex trajectories often appear in videos, especially videos of sports. Such objects elapse non-negligible distance during exposure time of a single frame and therefore their position in the frame is not well defined. They appear as semi-transparent streaks due to the motion blur and cannot be reliably tracked by standard trackers. We propose a novel approach called Tracking by Deblatting based on the observation that motion blur is directly related to the intra-frame trajectory of an object. Blur is estimated by solving two intertwined inverse problems, blind deblurring and image matting, which we call deblatting. The trajectory is then estimated by fitting a piecewise quadratic curve, which models physically justifiable trajectories. As a result, tracked objects are precisely localized with higher temporal resolution than by conventional trackers. The proposed TbD tracker was evaluated on a newly created dataset of videos with ground truth obtained by a high-speed camera using a novel Trajectory-IoU metric that generalizes the traditional Intersection over Union and measures the accuracy of the intra-frame trajectory. The proposed method outperforms baseline both in recall and trajectory accuracy. |
| action |
| ARLID |
cav_un_auth*0386778 |
| name |
ICCV 2019. International conference on computer vision |
| dates |
20191027 |
| mrcbC20-s |
20191102 |
| place |
Seoul |
| country |
KR |
|
| RIV |
JD |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2020 |
| num_of_auth |
4 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0304198 |
| cooperation |
| ARLID |
cav_un_auth*0386528 |
| name |
FEL, ČVUT |
| institution |
FEL, ČVUT |
| country |
CZ |
|
| confidential |
S |
| arlyear |
2019 |
| mrcbU14 |
85082437719 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0519174 Proceedings of the IEEE International Conference on Computer Vision 2019 (ICCV 2019) 978-1-7281-5024-6 2473-9936 2473-9944 2300 2309 Piscataway IEEE 2019 |
|