Continual Occlusion and Optical Flow Estimation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00332673" target="_blank" >RIV/68407700:21230/19:00332673 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/content/pdf/10.1007/978-3-030-20870-7_10.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007/978-3-030-20870-7_10.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-20870-7_10" target="_blank" >10.1007/978-3-030-20870-7_10</a>
Alternative languages
Result language
angličtina
Original language name
Continual Occlusion and Optical Flow Estimation
Original language description
Two optical flow estimation problems are addressed: (i) occlusion estimation and handling, and (ii) estimation from image sequences longer than two frames. The proposed ContinualFlow method estimates occlusions before flow, avoiding the use of flow corrupted by occlusions for their estimation. We show that providing occlusion masks as an additional input to flow estimation improves the standard performance metric by more than 25% on both KITTI and Sintel. As a second contribution, a novel method for incorporating information from past frames into flow estimation is introduced. The previous frame flow serves as an input to occlusion estimation and as a prior in occluded regions, i.e. those without visual correspondences. By continually using the previous frame flow, ContinualFlow performance improves further by 18% on KITTI and 7% on Sintel, achieving top performance on KITTI and Sintel. 2019, Springer Nature Switzerland AG.
Czech name
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Czech description
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Classification
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)
Result continuities
Project
<a href="/en/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ACCV 2018: Proceedings of the 14th Asian Conference on Computer Vision, Part IV
ISBN
978-3-030-20869-1
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
16
Pages from-to
159-174
Publisher name
Springer
Place of publication
Cham
Event location
Perth
Event date
Dec 4, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000490895400010