Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Sebastian Gruenwedel"'
Autor:
Barbara Roessle, Sebastian Gruenwedel
Publikováno v:
2020 IEEE Intelligent Vehicles Symposium (IV).
Augmented reality visualizes map content or sensor observations by projections that fit naturally into the surroundings-thereby providing relevant information in a convenient and safe way for the customer. A stable projection of map data into the dri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::660a43bcc6670abfc9198736ed912572
https://doi.org/10.1109/iv47402.2020.9304761
https://doi.org/10.1109/iv47402.2020.9304761
Autor:
Vedran Jelaca, Dimitri Van Cauwelaert, Jorge Oswaldo Niño-Castañeda, Wilfried Philips, Peter Van Hese, Peter Veelaert, Sebastian Gruenwedel, Dirk Van Haerenborgh
Publikováno v:
ACM Transactions on Sensor Networks. 10:1-32
Real-time tracking of people has many applications in computer vision, especially in the domain of surveillance. Typically, a network of cameras is used to solve this task. However, real-time tracking remains challenging due to frequent occlusions an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::501220ef20dc38dcf24c9294eb8ea369
https://doi.org/10.1145/2530282
https://doi.org/10.1145/2530282
Autor:
Nemanja Petrovic, Jorge Oswaldo Niño-Castañeda, Ljubomir Jovanov, Wilfried Philips, A. Pižurica, Sebastian Gruenwedel
Publikováno v:
Electronics Letters. 49:1143-1145
The problem of foreground detection in real-time video surveillance applications is addressed. Proposes is a framework, which is computationally cheap and has low memory requirements. It combines two simple processing blocks, both of which are essent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13bd1f03dc2709b4d13454b81f631e77
https://doi.org/10.1049/el.2013.1944
https://doi.org/10.1049/el.2013.1944
Autor:
Dimitri Van Cauwelaert, Nyan Bo Bo, Junzhi Guan, Jorge Oswaldo Niño-Castañeda, Dirk Van Haerenborgh, Peter Van Hese, Wilfried Philips, Peter Veelaert, Sebastian Gruenwedel
Publikováno v:
SPIE Proceedings.
In this paper, we proposes a people tracking system composed of multiple calibrated smart cameras and one fusion server which fuses the information from all cameras. Each smart camera estimates the ground plane positions of people based on the curren
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33d2ab099cdc6de5fafa395abb0a2416
https://doi.org/10.1117/12.2036745
https://doi.org/10.1117/12.2036745
Autor:
Wilfried Philips, Peter Veelaert, Peter Van Hese, Jorge Oswaldo Niño-Castañeda, Dirk Van Haerenborgh, Junzhi Guan, Nyan Bo Bo, Sebastian Gruenwedel, Dimitri Van Cauwelaert
Publikováno v:
SPIE Proceedings.
Many computer vision based applications require reliable tracking of multiple people under unpredictable lighting conditions. Many existing trackers do not handle illumination changes well, especially sudden changes in illumination. This paper presen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0790f6218f6ed65960f6e437a9d0f773
https://doi.org/10.1117/12.2036764
https://doi.org/10.1117/12.2036764
Autor:
Dirk Van Haerenborgh, Peter Veelaert, Jorge Oswaldo Niño-Castañeda, Wilfried Philips, Nyan Bo Bo, Peter Van Hese, Dimitri Van Cauwelaert, Sebastian Gruenwedel, Junzhi Guan
Publikováno v:
Advanced Concepts for Intelligent Vision Systems ISBN: 9783319028941
ACIVS
ACIVS
This paper presents a new method to track multiple persons reliably using a network of smart cameras. The task of tracking multiple persons is very challenging due to targets' non-rigid nature, occlusions and environmental changes. Our proposed metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00ad8170561b3e6201f1dd76f7cba60d
https://doi.org/10.1007/978-3-319-02895-8_53
https://doi.org/10.1007/978-3-319-02895-8_53
Autor:
Dimitri Van Cauwelaert, Wilfried Philips, Peter Van Hese, Vedran Jelaca, Jorge Oswaldo Niño-Castañeda, Peter Veelaert, Sebastian Gruenwedel
Publikováno v:
SPIE Proceedings.
Real-time tracking of people has many applications in computer vision and typically requires multiple cameras; for instance for surveillance, domotics, elderly-care and video conferencing. However, this problem is very challenging because of the need
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b6c1b38a905625bab28cc97ae13839e
https://doi.org/10.1117/12.907082
https://doi.org/10.1117/12.907082
Autor:
Dimitri Van Cauwelaert, Aljosha Demeulemeester, Rik Van de Walle, Jorge Nino, Peter Veelaert, Vedran Jelaca, Peter Lambert, Charles-Frederik Hollemeersch, Peter Van Hese, Wilfried Philips, Sebastian Gruenwedel
Publikováno v:
ICDSC
This demo paper introduces a flexible 3D visualization framework that can visualize an abstract representation of real-world events such as human movement and human interaction in an immersive way by rendering animated avatars. In the presented demo,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8519899bd86bcb9f10b7ccfedc8cc8e
https://doi.org/10.1109/icdsc.2011.6042956
https://doi.org/10.1109/icdsc.2011.6042956
Publikováno v:
ICDSC
2011 Fifth ACM/IEEE international conference on distributed smart cameras
2011 Fifth ACM/IEEE international conference on distributed smart cameras
An occupancy map provides an abstract top view of a scene and can be used for many applications such as domotics, surveillance, elderly-care and video teleconferencing. Such maps can be accurately estimated from multiple camera views. However, using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d24171a70ccc4e1a5baec08746c7afe5
https://doi.org/10.1109/icdsc.2011.6042951
https://doi.org/10.1109/icdsc.2011.6042951
Publikováno v:
Advanced Concepts for Intelligent Vision Systems ISBN: 9783642236860
ACIVS
LECTURE NOTES IN COMPUTER SCIENCE
ACIVS
LECTURE NOTES IN COMPUTER SCIENCE
Foreground segmentation is an essential task in many image processing applications and a commonly used approach to obtain foreground objects from the background. Many techniques exist, but due to shadows and changes in illumination the segmentation o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02460fb601b3fbad8c36cde58473e87c
https://doi.org/10.1007/978-3-642-23687-7_50
https://doi.org/10.1007/978-3-642-23687-7_50