Intra-Frame Object Tracking by Deblatting

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00519063" target="_blank" >RIV/67985556:_____/19:00519063 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/ICCVW.2019.00283" target="_blank" >http://dx.doi.org/10.1109/ICCVW.2019.00283</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICCVW.2019.00283" target="_blank" >10.1109/ICCVW.2019.00283</a>

Result language

angličtina

Original language name

Intra-Frame Object Tracking by Deblatting

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA18-05360S" target="_blank" >GA18-05360S: Solving inverse problems for the analysis of fast moving objects</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the IEEE International Conference on Computer Vision 2019 (ICCV 2019)

ISBN

978-1-7281-5024-6

ISSN

2473-9936

e-ISSN

2473-9944

Number of pages

10

Pages from-to

2300-2309

Publisher name

IEEE

Place of publication

Piscataway

Event location

Seoul

Event date

Oct 27, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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