Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Grzegorz Kurzejamski"'
Autor:
Grzegorz Kurzejamski, Jacek Komorowski
The paper presents a multi-camera tracking method intended for tracking soccer players in long shot video recordings from multiple calibrated cameras installed around the playing field. The large distance to the camera makes it difficult to visually
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97cd572d6f1ebe4809cfca5bca218ca9
http://arxiv.org/abs/2211.02125
http://arxiv.org/abs/2211.02125
This paper presents a robust end-to-end method for sports cameras extrinsic parameters optimization using a novel evolution strategy. First, we developed a neural network architecture for an edge or area-based segmentation of a sports field. Secondly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::003d7caa77a2f2b01baf5fa9a33d5a16
Publikováno v:
VISIGRAPP (5: VISAPP)
Scopus-Elsevier
Scopus-Elsevier
Autor:
Jacek Komorowski, Grzegorz Kurzejamski, Konrad Czarnota, Simon Lynen, Tomasz Trzcinski, Lukasz Dabala
Publikováno v:
Advanced Concepts for Intelligent Vision Systems ISBN: 9783030406042
ACIVS
ACIVS
In this paper, we present a framework for computing dense keypoint correspondences between images under strong scene appearance changes. Traditional methods, based on nearest neighbour search in the feature descriptor space, perform poorly when envir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e463228e98b0fa3c13c56e8acc7238d8
https://doi.org/10.1007/978-3-030-40605-9_42
https://doi.org/10.1007/978-3-030-40605-9_42
Publikováno v:
MVA
The paper describes a deep network based system specialized for ball detection in long shot videos. System comprises of flexible detector and classical particle tracking. The core contribution is incorporation of hy-percolumn concept in the processin
Publikováno v:
Grzegorz Kurzejamski
Scopus-Elsevier
VISIGRAPP (5: VISAPP)
Scopus-Elsevier
VISIGRAPP (5: VISAPP)
The paper describes a deep neural network-based detector dedicated for ball and players detection in high resolution, long shot, video recordings of soccer matches. The detector, dubbed FootAndBall, has an efficient fully convolutional architecture a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f85aba6d1fcc7a7c456d94d0d76ecc68
Autor:
Lukasz Dabala, Konrad Czarnota, Jacek Komorowski, Simon Lynen, Grzegorz Kurzejamski, Tomasz Trzcinski
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030110086
ECCV Workshops (1)
ECCV Workshops (1)
Numerous computer vision applications rely on local feature descriptors, such as SIFT, SURF or FREAK, for image matching. Although their local character makes image matching processes more robust to occlusions, it often leads to geometrically inconsi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d55485552b4e4d0dc9230933f1e816de
https://doi.org/10.1007/978-3-030-11009-3_24
https://doi.org/10.1007/978-3-030-11009-3_24
Publikováno v:
Image Processing and Communications Challenges 10 ISBN: 9783030036577
IP&C
IP&C
The paper presents analysis of algorithms for football players pose estimation based on a custom, real scenario data. Listed approaches have been examined on high resolution videos or photos taken from multiple cameras during football match or traini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b9def610fe42fa44f44ff66bea17228
https://doi.org/10.1007/978-3-030-03658-4_8
https://doi.org/10.1007/978-3-030-03658-4_8
Autor:
Grzegorz Kurzejamski, Marcin Iwanowski
Publikováno v:
Computer Vision and Graphics ISBN: 9783030006914
ICCVG
ICCVG
The paper presents simple graph features based on a well-known image keypoints. We discuss the extraction method and geometrical properties that can be used. Chosen methods are tested in KNN tasks for almost 1000 object classes. The approach addresse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4612ff5d678a500703681b5df1a1c815
https://doi.org/10.1007/978-3-030-00692-1_12
https://doi.org/10.1007/978-3-030-00692-1_12
Publikováno v:
SPA
In this paper we propose a novel efficient method of characteristic image point detection based on the fractional order derivative. The concept of this approach called (FSIFT: Fractional-SIFT) is inspired by the Scale-Invariant Feature Transform (SIF