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Extract from the Register of European Patents

EP About this file: EP3438929

EP3438929 - FOREGROUND AND BACKGROUND DETECTION METHOD [Right-click to bookmark this link]
StatusNo opposition filed within time limit
Status updated on  14.05.2021
Database last updated on 15.07.2024
FormerThe patent has been granted
Status updated on  05.06.2020
FormerGrant of patent is intended
Status updated on  14.05.2020
FormerRequest for examination was made
Status updated on  09.08.2019
FormerThe application has been published
Status updated on  04.01.2019
Most recent event   Tooltip15.07.2022Lapse of the patent in a contracting state
New state(s): MK		published on 17.08.2022  [2022/33]
Applicant(s)For all designated states
Université de Liège
Place du XX Aout
4000 Liège / BE
[2019/06]
Inventor(s)01 / VAN DROOGENBROECK, Marc
UNIVERSITE DE LIEGE, Télécommunications
Institut d'électricité Montefiore
Allée de la Découverte 10 (Bât. B28)
4000 LIEGE / BE
02 / BRAHAM, Marc
UNIVERSITE DE LIEGE, Télécommunications
Institut d'électricité Montefiore
Allée de la Découverte 10 (Bât. B28)
4000 Liege / BE
03 / PIERARD, Sébastien
UNIVERSITE DE LIEGE, Télécommunications
Institut d'électricité Montefiore
Allée de la Découverte 10 (Bât. B28)
4000 LIEGE / BE
 [2019/06]
Representative(s)Bosch, Henry
Bosch IP Services A la Corne du Pré, 7
4053 Embourg / BE
[N/P]
Former [2019/06]Bosch, Henry
BOSCH IP service
Corne du Pré, 7
4053 Embourg / BE
Application number, filing date17184931.804.08.2017
[2019/06]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report 
No.:EP3438929
Date:06.02.2019
Language:EN
[2019/06]
Type: B1 Patent specification 
No.:EP3438929
Date:08.07.2020
Language:EN
[2020/28]
Search report(s)(Supplementary) European search report - dispatched on:EP17.01.2018
ClassificationIPC:G06T7/11, G06T7/174, G06T7/194, G06T7/136
[2019/06]
CPC:
G06T7/11 (EP,US); G06T7/215 (CN); G09G3/20 (US);
G06T7/136 (EP,US); G06T7/174 (EP,US); G06T7/194 (EP,US);
G06T7/254 (CN); G06T7/277 (CN); G06T2207/10016 (EP,CN,US);
G06T2207/20076 (CN); G06T2207/20081 (EP,US); G06T2207/20084 (EP,US);
G06T2207/20224 (CN); G09G2300/0443 (US); G09G2300/0452 (US) (-)
Designated contracting statesAL,   AT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2019/37]
Former [2019/06]AL,  AT,  BE,  BG,  CH,  CY,  CZ,  DE,  DK,  EE,  ES,  FI,  FR,  GB,  GR,  HR,  HU,  IE,  IS,  IT,  LI,  LT,  LU,  LV,  MC,  MK,  MT,  NL,  NO,  PL,  PT,  RO,  RS,  SE,  SI,  SK,  SM,  TR 
TitleGerman:VERFAHREN ZUR ERKENNUNG DES VORDER- UND HINTERGRUNDS[2019/06]
English:FOREGROUND AND BACKGROUND DETECTION METHOD[2019/06]
French:PROCÉDÉ DE DÉTECTION D'AVANT-PLAN ET D'ARRIÈRE-PLAN[2019/06]
Examination procedure15.06.2019Amendment by applicant (claims and/or description)
06.08.2019Examination requested  [2019/37]
06.08.2019Date on which the examining division has become responsible
15.05.2020Communication of intention to grant the patent
29.05.2020Fee for grant paid
29.05.2020Fee for publishing/printing paid
29.05.2020Receipt of the translation of the claim(s)
Opposition(s)09.04.2021No opposition filed within time limit [2021/24]
Fees paidRenewal fee
02.09.2019Renewal fee patent year 03
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Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Lapses during opposition  TooltipHU04.08.2017
AL08.07.2020
AT08.07.2020
CY08.07.2020
CZ08.07.2020
DK08.07.2020
EE08.07.2020
ES08.07.2020
FI08.07.2020
HR08.07.2020
IT08.07.2020
LT08.07.2020
LV08.07.2020
MC08.07.2020
MK08.07.2020
MT08.07.2020
NL08.07.2020
PL08.07.2020
RO08.07.2020
RS08.07.2020
SE08.07.2020
SI08.07.2020
SK08.07.2020
SM08.07.2020
TR08.07.2020
IE04.08.2020
LU04.08.2020
CH31.08.2020
LI31.08.2020
BG08.10.2020
NO08.10.2020
GR09.10.2020
IS08.11.2020
PT09.11.2020
[2022/33]
Former [2022/28]HU04.08.2017
AL08.07.2020
AT08.07.2020
CY08.07.2020
CZ08.07.2020
DK08.07.2020
EE08.07.2020
ES08.07.2020
FI08.07.2020
HR08.07.2020
IT08.07.2020
LT08.07.2020
LV08.07.2020
MC08.07.2020
MT08.07.2020
NL08.07.2020
PL08.07.2020
RO08.07.2020
RS08.07.2020
SE08.07.2020
SI08.07.2020
SK08.07.2020
SM08.07.2020
TR08.07.2020
IE04.08.2020
LU04.08.2020
CH31.08.2020
LI31.08.2020
BG08.10.2020
NO08.10.2020
GR09.10.2020
IS08.11.2020
PT09.11.2020
Former [2022/27]HU04.08.2017
AL08.07.2020
AT08.07.2020
CY08.07.2020
CZ08.07.2020
DK08.07.2020
EE08.07.2020
ES08.07.2020
FI08.07.2020
HR08.07.2020
IT08.07.2020
LT08.07.2020
LV08.07.2020
MT08.07.2020
NL08.07.2020
PL08.07.2020
RO08.07.2020
RS08.07.2020
SE08.07.2020
SI08.07.2020
SK08.07.2020
SM08.07.2020
TR08.07.2020
IE04.08.2020
LU04.08.2020
CH31.08.2020
LI31.08.2020
BG08.10.2020
NO08.10.2020
GR09.10.2020
IS08.11.2020
PT09.11.2020
Former [2021/37]AL08.07.2020
AT08.07.2020
CZ08.07.2020
DK08.07.2020
EE08.07.2020
ES08.07.2020
FI08.07.2020
HR08.07.2020
IT08.07.2020
LT08.07.2020
LV08.07.2020
NL08.07.2020
PL08.07.2020
RO08.07.2020
RS08.07.2020
SE08.07.2020
SI08.07.2020
SK08.07.2020
SM08.07.2020
IE04.08.2020
LU04.08.2020
CH31.08.2020
LI31.08.2020
BG08.10.2020
NO08.10.2020
GR09.10.2020
IS08.11.2020
PT09.11.2020
Former [2021/36]AL08.07.2020
AT08.07.2020
CZ08.07.2020
DK08.07.2020
EE08.07.2020
ES08.07.2020
FI08.07.2020
HR08.07.2020
IT08.07.2020
LT08.07.2020
LV08.07.2020
NL08.07.2020
PL08.07.2020
RO08.07.2020
RS08.07.2020
SE08.07.2020
SI08.07.2020
SK08.07.2020
SM08.07.2020
LU04.08.2020
CH31.08.2020
LI31.08.2020
BG08.10.2020
NO08.10.2020
GR09.10.2020
IS08.11.2020
PT09.11.2020
Former [2021/28]AL08.07.2020
AT08.07.2020
CZ08.07.2020
DK08.07.2020
EE08.07.2020
ES08.07.2020
FI08.07.2020
HR08.07.2020
IT08.07.2020
LT08.07.2020
LV08.07.2020
NL08.07.2020
PL08.07.2020
RO08.07.2020
RS08.07.2020
SE08.07.2020
SK08.07.2020
SM08.07.2020
LU04.08.2020
CH31.08.2020
LI31.08.2020
BG08.10.2020
NO08.10.2020
GR09.10.2020
IS08.11.2020
PT09.11.2020
Former [2021/25]AL08.07.2020
AT08.07.2020
CZ08.07.2020
DK08.07.2020
EE08.07.2020
ES08.07.2020
FI08.07.2020
HR08.07.2020
IT08.07.2020
LT08.07.2020
LV08.07.2020
NL08.07.2020
PL08.07.2020
RO08.07.2020
RS08.07.2020
SE08.07.2020
SM08.07.2020
LU04.08.2020
CH31.08.2020
LI31.08.2020
BG08.10.2020
NO08.10.2020
GR09.10.2020
IS08.11.2020
PT09.11.2020
Former [2021/22]AT08.07.2020
CZ08.07.2020
DK08.07.2020
EE08.07.2020
ES08.07.2020
FI08.07.2020
HR08.07.2020
IT08.07.2020
LT08.07.2020
LV08.07.2020
NL08.07.2020
PL08.07.2020
RO08.07.2020
RS08.07.2020
SE08.07.2020
SM08.07.2020
LU04.08.2020
CH31.08.2020
LI31.08.2020
BG08.10.2020
NO08.10.2020
GR09.10.2020
IS08.11.2020
PT09.11.2020
Former [2021/20]AT08.07.2020
DK08.07.2020
ES08.07.2020
FI08.07.2020
HR08.07.2020
IT08.07.2020
LT08.07.2020
LV08.07.2020
NL08.07.2020
PL08.07.2020
RS08.07.2020
SE08.07.2020
LU04.08.2020
CH31.08.2020
LI31.08.2020
BG08.10.2020
NO08.10.2020
GR09.10.2020
IS08.11.2020
PT09.11.2020
Former [2021/17]AT08.07.2020
ES08.07.2020
FI08.07.2020
HR08.07.2020
LT08.07.2020
LV08.07.2020
NL08.07.2020
PL08.07.2020
RS08.07.2020
SE08.07.2020
BG08.10.2020
NO08.10.2020
GR09.10.2020
IS08.11.2020
PT09.11.2020
Former [2021/10]AT08.07.2020
ES08.07.2020
FI08.07.2020
HR08.07.2020
LT08.07.2020
LV08.07.2020
PL08.07.2020
RS08.07.2020
SE08.07.2020
BG08.10.2020
NO08.10.2020
GR09.10.2020
IS08.11.2020
PT09.11.2020
Former [2021/09]AT08.07.2020
ES08.07.2020
FI08.07.2020
LT08.07.2020
SE08.07.2020
BG08.10.2020
NO08.10.2020
GR09.10.2020
PT09.11.2020
Former [2021/08]ES08.07.2020
FI08.07.2020
LT08.07.2020
SE08.07.2020
BG08.10.2020
NO08.10.2020
PT09.11.2020
Former [2021/07]FI08.07.2020
LT08.07.2020
NO08.10.2020
Documents cited:Search[A]US2005002572  (SAPTHARISHI MAHESH [US], et al) [A] 1-11 * abstract * * paragraphs [0018] , [0046] , [0090] * * paragraph [0061] - paragraph [0062] ** figures 2,10 *;
 [I]  - VIKAS REDDY ET AL, "Improved Foreground Detection via Block-Based Classifier Cascade With Probabilistic Decision Integration", IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, USA, (20130101), vol. 23, no. 1, doi:10.1109/TCSVT.2012.2203199, ISSN 1051-8215, pages 83 - 93, XP011486355 [I] 1-11 * abstract * * section II.B *

DOI:   http://dx.doi.org/10.1109/TCSVT.2012.2203199
 [A]  - SERGI CAELLES ET AL, "Semantically-Guided Video Object Segmentation", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, (20170406), XP080761260 [A] 1-11 * abstract * * section 4;; figures 2-4 *
 [A]  - SEVILLA-LARA LAURA ET AL, "Optical Flow with Semantic Segmentation and Localized Layers", 2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE, (20160627), doi:10.1109/CVPR.2016.422, pages 3889 - 3898, XP033021574 [A] 1-11 * abstract * * sections 1 and 3 * * page 3890, column right, paragraph 1 - paragraph 2 *

DOI:   http://dx.doi.org/10.1109/CVPR.2016.422
by applicant   - T. BOUWMANS, "Traditional and recent approaches in background modeling for foreground detection: An overview", Computer Science Review, (20140500), vol. 11-12, pages 31 - 66
    - C. STAUFFER; E. GRIMSON, "Adaptive background mixture models for real-time tracking", IEEE Int. Conf. Comput. Vision and Pattern Recogn. (CVPR, (19990600), vol. 2, pages 246 - 252
    - O. BARNICH; M. VAN DROOGENBROECK, "ViBe: A universal background subtraction algorithm for video sequence", IEEE Trans. Image Process., (20110600), vol. 20, no. 6, doi:doi:10.1109/TIP.2010.2101613, pages 1709 - 1724, XP011411821

DOI:   http://dx.doi.org/10.1109/TIP.2010.2101613
    - V. JAIN; B. KIMIA; J. MUNDY, "Background modeling based on subpixel edges", IEEE Int. Conf. Image Process. (ICIP, (20070900), vol. 6, pages 321 - 324
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DOI:   http://dx.doi.org/10.1109/ICIP.2008.4712065
    - "Spatiotemporal background subtraction using minimum spanning tree and optical flow", M. CHEN; Q. YANG; Q. LI; G. WANG; M.-H. YANG, Eur. Conf. Comput. Vision (ECCV, Springer, (20140900), vol. 8695, pages 521 - 534
    - M. BRAHAM; A. LEJEUNE; M. VAN DROOGENBROECK, "A physically motivated pixel-based model for background subtraction in 3D images", IEEE Int. Conf. 3D Imaging (IC3D, (20141200), pages 1 - 8
    - T. BOUWMANS; C. SILVA; C. MARGHES; M. ZITOUNI; H. BHASKAR; C. FRELICOT, "On the role and the importance of features for background modeling and foreground detection", CoRR, (20161100), vol. abs/1611, pages 1 - 131
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DOI:   http://dx.doi.org/10.1109/CVPR.2015.7298965
    - S. ZHENG; S. JAYASUMANA; B. ROMERA-PAREDES; V. VINEET; Z. SU; D. DU; C. HUANG; P. TORR, "Conditional random fields as recurrent neural networks", IEEE Int. Conf. Comput. Vision (ICCV, (20151200), doi:doi:10.1109/ICCV.2015.179, pages 1529 - 1537, XP032866501

DOI:   http://dx.doi.org/10.1109/ICCV.2015.179
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DOI:   http://dx.doi.org/10.1109/CVPR.2016.422
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