Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Nyan, Bo Bo"'
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
Publikováno v:
Songklanakarin Journal of Science and Technology (SJST), Vol 31, Iss 2, Pp 157-165 (2009)
Robust real-time hand detection and tracking in video sequences would enable many applications in areas as diverse ashuman-computer interaction, robotics, security and surveillance, and sign language-based systems. In this paper, we introducea new ap
Externí odkaz:
https://doaj.org/article/8a39baa888d24208973e60748a44a73e
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
Publikováno v:
VISIGRAPP (6: VISAPP)
Autor:
Bart Vanrumste, Wilfried Philips, Maarten Slembrouck, Glen Debard, Junzhi Guan, Jorge Oswaldo Niño-Castañeda, Tinne Tuytelaars, Nyan Bo Bo, Andres Frias-Velazquez
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 25(5)
This paper proposes a generic methodology for the semi-automatic generation of reliable position annotations for evaluating multi-camera people-trackers on large video data sets. Most of the annotation data are automatically computed, by estimating a
Publikováno v:
VISIGRAPP (3: VISAPP)
This paper presents a new method to track multiple people reliably using a network of calibrated smart cameras. The task of tracking multiple persons is very difficult due to non-rigid nature of the human body, occlusions and environmental changes. O
Publikováno v:
ICDSC
Unlike tracking rigid targets, the task of tracking multiple people is very challenging because the appearance and the shape of a person varies depending on the target's location and orientation. This paper presents a new approach to track multiple p
Publikováno v:
Journal of Electronic Imaging. 26:051407
Occlusion is one of the most difficult challenges in the area of visual tracking. We propose an occlusion handling framework to improve the performance of local tracking in a smart camera view in a multicamera network. We formulate an extensible ener
Publikováno v:
ICDSC
8th ACM/IEEE international conference on Distributed Smart Cameras, Proceedings
8th ACM/IEEE international conference on Distributed Smart Cameras, Proceedings
The demand for healthcare services for an increasing population of older adults is faced with the shortage of skilled caregivers and a constant increase in healthcare costs. In addition, the strong preference of the elderly to live independently has
Autor:
Samuel Van de Velde, Maarten Slembrouck, Nyan Bo Bo, Wilfried Philips, Junzhi Guan, Dirk Van Haerenborgh, Heidi Steendam, Jorge Nino, Francis Deboeverie, Hamid Aghajan, Richard Kleihorst, Xingzhe Xie, Mohamed Eldib, Peter Veelaert
Publikováno v:
Sensors
Volume 14
Issue 11
Pages 20800-20824
Sensors (Basel, Switzerland)
SENSORS
Sensors, Vol 14, Iss 11, Pp 20800-20824 (2014)
Volume 14
Issue 11
Pages 20800-20824
Sensors (Basel, Switzerland)
SENSORS
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