Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Maarten Slembrouck"'
Autor:
Jan Willem Teunissen, Jelle De Bock, Dominique Schasfoort, Maarten Slembrouck, Steven Verstockt, Matthieu Lenoir, Johan Pion
Publikováno v:
Frontiers in Sports and Active Living, Vol 6 (2024)
Sports are characterized by unique rules, environments, and tasks, but also share fundamental similarities with each other sport. Such between-sports parallels can be vital for optimizing talent transfer processes. This study aimed to explore similar
Externí odkaz:
https://doaj.org/article/de4bfcec27644bde8cefaa85bf583342
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9246 (2024)
Road cycling races, such as the Tour de France, captivate millions of viewers globally, combining competitive sportsmanship with the promotion of regional landmarks. Traditionally, points of interest (POIs) are highlighted during broadcasts using man
Externí odkaz:
https://doaj.org/article/8f3fe9868e294294b38590d1f3841b0d
Publikováno v:
Sensors, Vol 24, Iss 3, p 736 (2024)
Personally curated content in short-form video formats provides added value for participants and spectators but is often disregarded in lower-level events because it is too labor-intensive to create or is not recorded at all. Our smart sensor-driven
Externí odkaz:
https://doaj.org/article/0683228029764536a2e96df3e314eb9b
Autor:
Junzhi Guan, Francis Deboeverie, Maarten Slembrouck, Dirk van Haerenborgh, Dimitri van Cauwelaert, Peter Veelaert, Wilfried Philips
Publikováno v:
Sensors, Vol 15, Iss 8, Pp 18985-19005 (2015)
In this paper, we propose a novel extrinsic calibration method for camera networks using a sphere as the calibration object. First of all, we propose an easy and accurate method to estimate the 3D positions of the sphere center w.r.t. the local camer
Externí odkaz:
https://doaj.org/article/c0c8fd702e484d7bbdaab2e00fb5e82b
Autor:
Nyan Bo Bo, Francis Deboeverie, Mohamed Eldib, Junzhi Guan, Xingzhe Xie, Jorge Niño, Dirk Van Haerenborgh, Maarten Slembrouck, Samuel Van de Velde, Heidi Steendam, Peter Veelaert, Richard Kleihorst, Hamid Aghajan, Wilfried Philips
Publikováno v:
Sensors, Vol 14, Iss 11, Pp 20800-20824 (2014)
This paper proposes an automated system for monitoring mobility patterns using a network of very low resolution visual sensors (30 × 30 pixels). The use of very low resolution sensors reduces privacy concern, cost, computation requirement and power
Externí odkaz:
https://doaj.org/article/3e3549d527594bdb9c04276d2bb5327e
Autor:
Junzhi Guan, Francis Deboeverie, Maarten Slembrouck, Dirk Van Haerenborgh, Dimitri Van Cauwelaert, Peter Veelaert, Wilfried Philips
Publikováno v:
Sensors, Vol 16, Iss 5, p 654 (2016)
In this paper, we propose a novel extrinsic calibration method for camera networks by analyzing tracks of pedestrians. First of all, we extract the center lines of walking persons by detecting their heads and feet in the camera images. We propose an
Externí odkaz:
https://doaj.org/article/696b6073d1ea4934a0dcd2147ac95ffd
Autor:
Pirlouit Dumez, Guillaume Prevost, Maarten Slembrouck, Jelle De Bock, Julien Marbaix, Steven Verstockt
Publikováno v:
Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cd3f5066159bc2612d6c29cfaedec45
https://doi.org/10.1145/3552437.3555706
https://doi.org/10.1145/3552437.3555706
Autor:
Peter Veelaert, Dimitri Van Cauwelaert, Maarten Slembrouck, David Van Hamme, Wilfried Philips
Publikováno v:
Integrated Computer-Aided Engineering. 26:257-271
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::831b8d20a718469b9c22c027355a891b
https://doi.org/10.3233/ica-180597
https://doi.org/10.3233/ica-180597
Autor:
Maarten Slembrouck, Wilfried Philips, Kurt Schütte, Benedicte Vanwanseele, Peter Veelaert, Joeri Gerlo, Hiep Luong, Dimitri Van Cauwelaert, Dirk De Clercq
Publikováno v:
Advanced concepts for intelligent vision systems-ACIVS 2020
Advanced Concepts for Intelligent Vision Systems ISBN: 9783030406042
ACIVS
Advanced Concepts for Intelligent Vision Systems ISBN: 9783030406042
ACIVS
Despite the fact that marker-based systems for human motion estimation provide very accurate tracking of the human body joints (at mm precision), these systems are often intrusive or even impossible to use depending on the circumstances, e.g. markers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc3e725a064f49a350d068e0c5082378
https://hdl.handle.net/1854/LU-8638312
https://hdl.handle.net/1854/LU-8638312
Publikováno v:
Advanced concepts for intelligent vision systems-ACIVS 2020
Advanced Concepts for Intelligent Vision Systems ISBN: 9783030406042
ACIVS
Advanced Concepts for Intelligent Vision Systems ISBN: 9783030406042
ACIVS
Reliable tracking of road users is one of the important tasks in smart traffic applications. In these applications, a network of cameras is often used to extend the coverage. However, efficient usage of information from cameras which observe the same
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fb6ab2a0b85b78865b476110529408c
https://biblio.ugent.be/publication/8635084/file/8654151
https://biblio.ugent.be/publication/8635084/file/8654151