blank Quick help
blank Maintenance news

Scheduled maintenance

Regular maintenance outages:
between 05.00 and 05.15 hrs CET (Monday to Sunday).

Other outages
Availability

2022.02.11

More...
blank News flashes

News Flashes

New version of the European Patent Register – SPC proceedings information in the Unitary Patent Register.

2024-07-24

More...
blank Related links

Release notes
European Patent Register Assistant
European Patent Register Resource Book
European Patent Register – pocket guide
FAQ - European Patent Register
Federated Register (Flyer)
Global Dossier (Flyer)
Register events
Deep link coverage
Federated Register content
The Patent Information Tour
Fair use charter

Extract from the Register of European Patents

EP About this file: EP2003596

EP2003596 - Computer implemented method for constructing classifier from training data detecting moving objects [Right-click to bookmark this link]
Former [2008/51]Computer implemented method for constructing classifier from training data detecting moving objects in test data using classifier
[2010/42]
StatusThe application has been withdrawn
Status updated on  29.06.2012
Database last updated on 19.10.2024
Most recent event   Tooltip29.06.2012Withdrawal of applicationpublished on 01.08.2012  [2012/31]
Applicant(s)For all designated states
MITSUBISHI ELECTRIC CORPORATION
7-3, Marunouchi 2-chome
Chiyoda-ku
Tokyo 100-8310 / JP
[N/P]
Former [2008/51]For all designated states
MITSUBISHI ELECTRIC CORPORATION
7-3, Marunouchi 2-chome Chiyoda-ku
Tokyo 100-8310 / JP
Inventor(s)01 / Porikli, Fatih M.
712 Mount Auburn Street
Watertown, MA 02472 / US
02 / Tuzel, Oncel C.
23513 BPO Way
Piscataway, NJ 08854 / US
 [2008/51]
Representative(s)Pfenning, Meinig & Partner mbB
Patent- und Rechtsanwälte
Theresienhöhe 11a
80339 München / DE
[N/P]
Former [2008/51]Pfenning, Meinig & Partner GbR
Patent- und Rechtsanwälte Theresienhöhe 13
80339 München / DE
Application number, filing date08010716.212.06.2008
[2008/51]
Priority number, dateUS2007076369915.06.2007         Original published format: US 763699
[2008/51]
Filing languageEN
Procedural languageEN
PublicationType: A2 Application without search report 
No.:EP2003596
Date:17.12.2008
Language:EN
[2008/51]
Type: A3 Search report 
No.:EP2003596
Date:23.05.2012
Language:EN
[2012/21]
Search report(s)(Supplementary) European search report - dispatched on:EP19.04.2012
ClassificationIPC:G06K9/00, G06K9/46, G06K9/62
[2008/51]
CPC:
G06V10/50 (EP,US); G06F18/2148 (US); G06V10/7747 (EP,US);
G06V40/103 (EP,US)
Designated contracting statesAT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MT,   NL,   NO,   PL,   PT,   RO,   SE,   SI,   SK,   TR [2008/51]
Extension statesALNot yet paid
BANot yet paid
MKNot yet paid
RSNot yet paid
TitleGerman:Computerimplementiertes Verfahren zur Klassifikatorkonstruktion aus Übungsdaten für die Detektion beweglicher Objekte[2010/42]
English:Computer implemented method for constructing classifier from training data detecting moving objects[2010/42]
French:Procédé informatique de construction de classificateur à partir de données d'apprentissage pour la détection d'objets mobiles[2010/42]
Former [2008/51]Computerimplementierungsverfahren zur Klassifikatorkonstruktion aus Übungsdaten und Erfassung beweglicher Objekte in Testdaten mittels Klassifikator
Former [2008/51]Computer implemented method for constructing classifier from training data detecting moving objects in test data using classifier
Former [2008/51]Procédé informatique de construction de classificateur à partir de données d'entraînement, et détection d'objets mobiles dans les données de test utilisant le classificateur
Examination procedure25.06.2012Application withdrawn by applicant  [2012/31]
Fees paidRenewal fee
29.06.2010Renewal fee patent year 03
29.06.2011Renewal fee patent year 04
Opt-out from the exclusive  Tooltip
competence of the Unified
Patent Court		 See the Register of the Unified Patent Court for opt-out data
Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Documents cited:Search[T]  - XAVIER PENNEC ET AL, "A Riemannian Framework for Tensor Computing", INTERNATIONAL JOURNAL OF COMPUTER VISION, KLUWER ACADEMIC PUBLISHERS, BO, (20060101), vol. 66, no. 1, doi:10.1007/S11263-005-3222-Z, ISSN 1573-1405, pages 41 - 66, XP019216496 [T] 1-22 * Sections "2. Statistics on Geometric Features" and "3. Working on the Tensor Space"; page 43, column l, paragraph 2 - page 50, column l, paragraph 1 *

DOI:   http://dx.doi.org/10.1007/s11263-005-3222-z
 [T]  - Stan Z. Li et Anil K. Jain, Handbook of Face Recognition, Springer, (20050101), pages 19 - 26, XP002672479 [T] 1-22 * page 19, line 29 - page 26, line 12; figures 2.8 - 2.10 *
 [T]  - Omar Javed et Mubarak Shah, Automated Multi-Camera Surveillance, (20080101), page 33, XP002672480 [T] * sentence 18 - sentence 39 *
 [T]  - J. FRIEDMAN; T. HASTIE; R. TIBSHIRANI, "Additive logistic regression: A statistical view of boosting", ANN. STATIST., (2000), vol. 28, no. 2, pages 337 - 407, XP008149847 [T] 1-22 * Section " 4.3 Direct Optimization of the binomial log-likelihood"; Algorithm 3; page 351, paragraph 3 - page 352, paragraph 2 * * Section "4.4 Optimizing Ee-yF(x) by Newton stepping; Algorithm 4; page 353, paragraph 2 - page 354, paragraph 2 * * Algorithm 6; page 356, paragraph 3 - page 357, paragraph 4 *

DOI:   http://dx.doi.org/10.1214/aos/1016218223
 [T]  - F. PORIKLI; O. TUZEL; P. MEER, "Covariance tracking using model update based on Lie algebra", IEEE SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR'06), IEEE NEW YORK, NY, (2006), vol. 1, pages 728 - 735, XP010923031 [T] 1-22 * the whole document *

DOI:   http://dx.doi.org/10.1109/CVPR.2006.94
 [T]  - John Watkinson, The Art of Digital Video, 3rd ed., Focal Press, (20000101), pages 270 - 272, XP002672482 [T] 11 * the whole document *
 [T]  - "Chapter 10, Boosting and Additive Trees", Trevor Hastie et al, The Elements of Statistical Learning, 2nd ed., Springer, (20090101), pages 337 - 387, XP002672483 [T] 16-20 * Exercise 10.8(b); page 386, line 5 - line 16 * * Algorithm 10.1; page 339 *
 [L]  - "Preface to the Second Edition", Trevor Hastie et al., The Elements of Statistical Learning, 2nd ed., Springer, (20090101), pages vii - ix, XP002672484 [L] * Cited to show that the referred passages in chap. 10 of the 2nd ed. of book were present in the 2001 first ed.; page viii, paragraph 10 *
 [T]  - Ludmila L. Kuncheva, Combining Pattern Classifiers, Wiley, (20040101), page 221, XP002672485 [T] 16,17 * sentence 13 - sentence 14 *
 [T]  - "Chapter 11, Eigensystems", William H. Press et al, Numerical Recipes: the Art of Scientific Computing, 3rd ed., Cambridge University, (20070101), pages 563 - 599, XP002672486 [T] 1-22 * page 574, paragraph 2 *
 [T]  - DALAL N ET AL, "Histograms of oriented gradients for human detection", COMPUTER VISION AND PATTERN RECOGNITION, 2005 IEEE COMPUTER SOCIETY CONFERENCE ON, IEEE, PISCATAWAY, NJ, USA, (20050625), ISBN 978-0-7695-2372-9, pages 886 - 893VOL.1, XP031330347 [T] 1-22 * the whole document *
 [T]  - QIANG ZHU ET AL, "Fast Human Detection Using a Cascade of Histograms of Oriented Gradients", CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, 2006 IEEE COMPUTER SOCIETY , NEW YORK, NY, USA 17-22 JUNE 2006, IEEE, PISCATAWAY, NJ, USA, (20060617), vol. 2, doi:10.1109/CVPR.2006.119, ISBN 978-0-7695-2597-6, pages 1491 - 1498, XP010923210 [T] 1-22 * the whole document *

DOI:   http://dx.doi.org/10.1109/CVPR.2006.119
 [T]  - ONCEL TUZEL ET AL, Region Covariance: A Fast Descriptor for Detection and Classification, COMPUTER VISION - ECCV 2006 LECTURE NOTES IN COMPUTER SCIENCE;;LNCS, SPRINGER, BERLIN, DE, PAGE(S) 589 - 600, (20060101), ISBN 978-3-540-33834-5, XP019036470 [T] 1-22 * abstract * * page 591, paragraph 2 - page 592, paragraph 1 *

DOI:   http://dx.doi.org/10.1007/11744047_45
 [XP]  - ONCEL TUZEL ET AL, "Human Detection via Classification on Riemannian Manifolds", CVPR '07. IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION; 18-23 JUNE 2007; MINNEAPOLIS, MN, USA, IEEE, PISCATAWAY, NJ, USA, (20070618), ISBN 978-1-4244-1179-5, pages 1 - 8, XP031114454 [XP] 1-22 * the whole document *
 [T]  - TUZEL O ET AL, "Pedestrian Detection via Classification on Riemannian Manifolds", IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, IEEE SERVICE CENTER, LOS ALAMITOS, CA, US, (20081001), vol. 30, no. 10, doi:10.1109/TPAMI.2008.75, ISSN 0162-8828, pages 1713 - 1727, XP011225941 [T] 1-22 * the whole document *

DOI:   http://dx.doi.org/10.1109/TPAMI.2008.75
 [T]  - Cuneyt Oncel Tuzel, "Learning on Riemannian manifolds for interpretation of visual environments - Phd Dissertation", New Brunswick, NJ, USA, (20081001), pages 1 - 156, Rutgers University, URL: http://coewww.rutgers.edu/riul/research/theses/ps/tuzel_thesis.pdf, (20120202), XP002672487 [T] 1-22 * the whole document *
by applicantUS2007133878
 US2007183629
    - P. PAPAGEORGIOU; T. POGGIO, "A trainable system for object detection", INTL. J. OF COMPUTER VISION, (2000), vol. 38, no. 1, pages 15 - 33
    - A. MOHAN; C. PAPAGEORGIOU; T. POGGIO, "Example-based object detection in images by components", IEEE TRANS. PATTERN ANAL. MACHINE INTELL., (2001), vol. 23, no. 4, pages 349 - 360
    - P. VIOLA; M. JONES; D. SNOW, "Detecting pedestrians using patterns of motion and appearance", IEEE CONF. ON COMPUTER VISION AND PATTERN RECOGNITION, NEW YORK, NY, (2003), vol. 1, pages 734 - 741
    - N. DALAL; B. TRIGGS, "Histograms of oriented gradients for human detection", PROC. IEEE CONF. ON COMPUTER VISION AND PATTERN RECOGNITION, (2005), vol. 1, pages 886 - 893
    - Q. ZHU ET AL., "Fast human detection using a cascade of histograms of oriented gradients", PROC. IEEE CONF. ON COMPUTER VISION AND PATTERN RECOGNITION, NEW YORK, NY, (2006), vol. 2, pages 1491 - 1498
    - B. LEIBE; E. SEEMANN; B. SCHIELE, "Pedestrian detection in crowded scenes", PROC. IEEE CONF. ON COMPUTER VISION AND PATTERN RECOGNITION, (2005), vol. 1, pages 878 - 885
    - O. TUZEL; F. PORIKLI; P. MEER, "Region covariance: A fast descriptor for detection and classification", PROC. EUROPEAN CONF. ON COMPUTER VISION, (2006), vol. 2, pages 589 - 600
    - F. PORIKLI; O. TUZEL; P. MEER, "Covariance tracking using model update based on Lie algebra", PROC. IEEE CONF. ON COMPUTER VISION AND PATTERN RECOGNITION, NEW YORK, NY, (2006), vol. 1, pages 728 - 735
    - E. BEGELFOR; M. WERMAN, "Affine invariance revisited", PROC. IEEE CONF. ON COMPUTER VISION AND PATTERN RECOGNITION, NEW YORK, NY, (2006), vol. 2, pages 2087 - 2094
    - R. SUBBARAO; P. MEER, "Nonlinear mean shift for clustering over analytic manifolds", PROC. IEEE CONF. ON COMPUTER VISION AND PATTERN RECOGNITION, NEW YORK, NY, (2006), vol. 1, pages 1168 - 1175
    - O. TUZEL; R. SUBBARAO; P. MEER, "Simultaneous multiple 3D motion estimation via mode finding on Lie groups", PROC. 1 OTH INTL. CONF. ON COMPUTER VISION, BEIJING, CHINA, (2005), vol. 1, pages 18 - 25
    - O. TUZEL; F. PORIKLI; P. MEER, "Region covariance: A fast descriptor for detection and classification", PROC. EUROPEAN CONF. ON COMPUTER VISION, GRAZ, AUSTRIA, (2006), vol. 2, pages 589 - 600
    - PENNEC ET AL., "A Riemannian framework for tensor computing", INTL. J. OF COMPUTER VISION, (200601), vol. 66, pages 41 - 66
    - J. FRIEDMAN; T. HASTIE; R. TIBSHIRANI, "Additive logistic regression: A statistical view of boosting", ANN. STATIST., (2000), vol. 28, no. 2, pages 337 - 407
The EPO accepts no responsibility for the accuracy of data originating from other authorities; in particular, it does not guarantee that it is complete, up to date or fit for specific purposes.