Title:
COMPUTER VISION PRE-FUSION AND SPATIO-TEMPORAL TRACKING
Document Type and Number:
WIPO Patent Application WO/2019/137912
Kind Code:
A1
Abstract:
The present invention relates to a new image processing method of several images (IMG). At first a plurality of predetermined image features is defined. On the basis of this plurality of predetermined image features image feature information of each of the several images (IMG) is determined. The so determined image feature information is fused into a new image. This process is also called an image fusion (IF). A spatio-temporal tracking of an object of the new image is enabled by using a probabilistic graphical model (PGM). The probabilistic graphical model (PGM) can be modified by a hierarchical modelling or order decoupling. Furthermore specific boundary conditions can be defined to adapt the probabilistic graphical model (PGM). The new fused image comprises an increased information density thanks to the image fusion (IF). This preferably leads to a new image with increased information density. It usually allows for an improved modelling within the probabilistic graphical model (PGM) and improved spatio-temporal tracking of objects.
Inventors:
YOGAMANI SENTHIL (IE)
Application Number:
PCT/EP2019/050340
Publication Date:
July 18, 2019
Filing Date:
January 08, 2019
Export Citation:
Assignee:
CONNAUGHT ELECTRONICS LTD (IE)
International Classes:
G06T7/20; G06T7/277
Domestic Patent References:
| WO2012139636A1 | 2012-10-18 |
Foreign References:
| US20150158182A1 | 2015-06-11 | |||
| US20160266581A1 | 2016-09-15 |
Other References:
NAZRUL HAQUE ET AL: "Joint Semantic and Motion Segmentation for dynamic scenes using Deep Convolutional Networks", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 18 April 2017 (2017-04-18), XP080765817, DOI: 10.5220/0006129200750085
FARHAD GHAZVINIAN ZANJANI ET AL: "Improving Semantic Video Segmenation by Dynamic Scene Integration", NCCV 2016: THE NETHERLANDS CONFERENCE ON COMPUTER VISION, 12 December 2016 (2016-12-12), Lunteren, Netherlands, XP055559365, Retrieved from the Internet [retrieved on 20190220]
FARHAD GHAZVINIAN ZANJANI ET AL: "Improving Semantic Video Segmenation by Dynamic Scene Integration", NCCV 2016: THE NETHERLANDS CONFERENCE ON COMPUTER VISION, 12 December 2016 (2016-12-12), Lunteren, Netherlands, XP055559365, Retrieved from the Internet
Attorney, Agent or Firm:
JAUREGUI URBAHN, Kristian (DE)
Download PDF: