Title:
VIDEO FEED TARGET TRACKING
Document Type and Number:
WIPO Patent Application WO/2009/124151
Kind Code:
A3
Abstract:
Technologies for object tracking can include accessing a video feed that captures an object in at least a portion of the video feed; operating a generative tracker to capture appearance variations of the object operating a discriminative tracker to discriminate the object from the object's background, where operating the discriminative tracker can include using a sliding window to process data from the video feed, and advancing the sliding window to focus the discriminative tracker on recent appearance variations of the object; training the generative tracker and the discriminative tracker based on the video feed, where the training can include updating the generative tracker based on an output of the discriminative tracker, and updating the discriminative tracker based on an output of the generative tracker; and tracking the object with information based on an output from the generative tracker and an output from the discriminative tracker.
Inventors:
MEDIONI GERARD (US)
YU QIAN (US)
DINH THANG BA (US)
YU QIAN (US)
DINH THANG BA (US)
Application Number:
PCT/US2009/039214
Publication Date:
April 14, 2011
Filing Date:
April 01, 2009
Export Citation:
Assignee:
UNIV SOUTHERN CALIFORNIA (US)
MEDIONI GERARD (US)
YU QIAN (US)
DINH THANG BA (US)
MEDIONI GERARD (US)
YU QIAN (US)
DINH THANG BA (US)
International Classes:
G06T7/20; G06V10/764
Foreign References:
| US20050226464A1 | 2005-10-13 | |||
| US20060036399A1 | 2006-02-16 |
Other References:
QIAN YU ET AL: "Online Tracking and Reacquisition Using Co-trained Generative and Discriminative Trackers", COMPUTER VISION ECCV 2008; [LECTURE NOTES IN COMPUTER SCIENCE], SPRINGER BERLIN HEIDELBERG, BERLIN, HEIDELBERG, vol. 5303, 12 October 2008 (2008-10-12), pages 678 - 691, XP019109234, ISBN: 978-3-540-88685-3
FENG TANG ET AL: "Co-Tracking Using Semi-Supervised Support Vector Machines", COMPUTER VISION, 2007. ICCV 2007. IEEE 11TH INTERNATIONAL CONFERENCE O N, IEEE, PI, 1 October 2007 (2007-10-01), pages 1 - 8, XP031194443, ISBN: 978-1-4244-1630-1
PETER ROTH ET AL: "Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort", PATTERN RECOGNITION LECTURE NOTES IN COMPUTER SCIENCE;;LNCS, SPRINGER, BERLIN, DE, vol. 3663, 1 January 2005 (2005-01-01), pages 293 - 300, XP019018030, ISBN: 978-3-540-28703-2
ISARD M ET AL: "CONDENSATION-conditional density propagation for visual tracking", INTERNATIONAL JOURNAL OF COMPUTER VISION, DORDRECHT, NL, vol. 29, no. 1, 1 January 1998 (1998-01-01), pages 5 - 28, XP002329561, DOI: DOI:10.1023/A:1008078328650
DAVID A ROSS ET AL: "Incremental Learning for Robust Visual Tracking", INTERNATIONAL JOURNAL OF COMPUTER VISION, KLUWER ACADEMIC PUBLISHERS, BO, vol. 77, no. 1-3, 17 August 2007 (2007-08-17), pages 125 - 141, XP019581873, ISSN: 1573-1405
HO J ET AL: "Visual tracking using learned linear subspaces", PROCEEDINGS OF THE 2004 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION 27 JUNE-2 JULY 2004 WASHINGTON, DC, USA, PROCEEDINGS OF THE 2004 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION IEEE COMP, vol. 1, 27 June 2004 (2004-06-27), pages 782 - 789, XP010708819, ISBN: 978-0-7695-2158-9, DOI: DOI:10.1109/CVPR.2004.1315111
KUANG-CHIH LEE ET AL: "Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking", COMPUTER VISION AND PATTERN RECOGNITION, 2005 IEEE COMPUTER SOCIETY CONFERENCE ON, IEEE, PISCATAWAY, NJ, USA, vol. 1, 20 June 2005 (2005-06-20), pages 852 - 859, XP010817361, ISBN: 978-0-7695-2372-9, DOI: DOI:10.1109/CVPR.2005.260
FENG TANG ET AL: "Co-Tracking Using Semi-Supervised Support Vector Machines", COMPUTER VISION, 2007. ICCV 2007. IEEE 11TH INTERNATIONAL CONFERENCE O N, IEEE, PI, 1 October 2007 (2007-10-01), pages 1 - 8, XP031194443, ISBN: 978-1-4244-1630-1
PETER ROTH ET AL: "Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort", PATTERN RECOGNITION LECTURE NOTES IN COMPUTER SCIENCE;;LNCS, SPRINGER, BERLIN, DE, vol. 3663, 1 January 2005 (2005-01-01), pages 293 - 300, XP019018030, ISBN: 978-3-540-28703-2
ISARD M ET AL: "CONDENSATION-conditional density propagation for visual tracking", INTERNATIONAL JOURNAL OF COMPUTER VISION, DORDRECHT, NL, vol. 29, no. 1, 1 January 1998 (1998-01-01), pages 5 - 28, XP002329561, DOI: DOI:10.1023/A:1008078328650
DAVID A ROSS ET AL: "Incremental Learning for Robust Visual Tracking", INTERNATIONAL JOURNAL OF COMPUTER VISION, KLUWER ACADEMIC PUBLISHERS, BO, vol. 77, no. 1-3, 17 August 2007 (2007-08-17), pages 125 - 141, XP019581873, ISSN: 1573-1405
HO J ET AL: "Visual tracking using learned linear subspaces", PROCEEDINGS OF THE 2004 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION 27 JUNE-2 JULY 2004 WASHINGTON, DC, USA, PROCEEDINGS OF THE 2004 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION IEEE COMP, vol. 1, 27 June 2004 (2004-06-27), pages 782 - 789, XP010708819, ISBN: 978-0-7695-2158-9, DOI: DOI:10.1109/CVPR.2004.1315111
KUANG-CHIH LEE ET AL: "Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking", COMPUTER VISION AND PATTERN RECOGNITION, 2005 IEEE COMPUTER SOCIETY CONFERENCE ON, IEEE, PISCATAWAY, NJ, USA, vol. 1, 20 June 2005 (2005-06-20), pages 852 - 859, XP010817361, ISBN: 978-0-7695-2372-9, DOI: DOI:10.1109/CVPR.2005.260
Attorney, Agent or Firm:
AI, Bing (P.O. Box 1022Minneapolis, MN, US)
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