Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Vagia Kaltsa"'
Autor:
Vagia Kaltsa, Alexia Briassouli, Michael G. Strintzis, Ioannis Kompatsiaris, Konstantinos Avgerinakis
Publikováno v:
Computers in Industry
Computers in Industry, 98, 1-13. Elsevier
Computers in Industry, 98, 1-13. Elsevier
This work focuses on detecting and localizing a wide range of dynamic textures in video sequences captured by surveillance cameras. Their reliable and robust analysis constitutes a challenging task for traditional computer vision methods, due to barr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02e494baba6bc2e33153036e1585e48d
https://doi.org/10.1016/j.compind.2018.02.007
https://doi.org/10.1016/j.compind.2018.02.007
Autor:
Konstantinos Avgerinakis, Vagia Kaltsa, Alexia Briassouli, Ioannis Kompatsiaris, Stefanos Vrochidis, Panagiotis Giannakeris
Publikováno v:
CVPR AIC 2018-Computer Vision and Pattern Recognition Workshop NVIDIA AI City Challenge, 93-99
STARTPAGE=93;ENDPAGE=99;TITLE=CVPR AIC 2018-Computer Vision and Pattern Recognition Workshop NVIDIA AI City Challenge
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
CVPR Workshops
STARTPAGE=93;ENDPAGE=99;TITLE=CVPR AIC 2018-Computer Vision and Pattern Recognition Workshop NVIDIA AI City Challenge
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
CVPR Workshops
Motivated by the increasing industry trends towards autonomous driving, vehicles, and transportation we focus on developing a traffic analysis framework for the automatic exploitation of a large pool of available data relative to traffic applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a80220fce8798fcf35df9b4f6891428b
https://cris.maastrichtuniversity.nl/en/publications/3a2c3dd3-9ec9-472d-bd43-a55e5a1dbd93
https://cris.maastrichtuniversity.nl/en/publications/3a2c3dd3-9ec9-472d-bd43-a55e5a1dbd93
Publikováno v:
Computer Vision and Image Understanding, 169, 28-39. Academic Press Inc.
This work introduces an unsupervised approach to scene analysis and anomaly detection in traffic video data, as captured from static surveillance cameras. A hybrid local-global scheme is introduced, so as to capture both local and global information,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5a71d0779f11078c1d92053d40edf91
https://cris.maastrichtuniversity.nl/en/publications/ad57263d-921c-42f4-9262-2bb95da62fcc
https://cris.maastrichtuniversity.nl/en/publications/ad57263d-921c-42f4-9262-2bb95da62fcc
Autor:
Vagia Kaltsa, M.G. Strintzis, Alexia Briassouli, Leontios J. Hadjileontiadis, Ioannis Kompatsiaris
Publikováno v:
IEEE Transactions on Image Processing. 24:2153-2166
This paper focuses on detecting and localizing anomalous events in videos of crowded scenes, i.e., divergences from a dominant pattern. Both motion and appearance information are considered, so as to robustly distinguish different kinds of anomalies,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c42fc2c2caccb0439d28d350d791e88
https://doi.org/10.1109/tip.2015.2409559
https://doi.org/10.1109/tip.2015.2409559
Autor:
Foteini Markatopoulou, Anastasia Moumtzidou, Damianos Galanopoulos, Theodoros Mironidis, Vagia Kaltsa, Anastasia Ioannidou, Spyridon Symeonidis, Konstantinos Avgerinakis, Stelios Andreadis, Ilias Gialampoukidis, Stefanos Vrochidis, Alexia Briassouli, Vasileios Mezaris, Ioannis Kompatsiaris, Ioannis Patras
This presentation provides an overview of the runs submitted to TRECVID 2016 by ITI-CERTH in the Ad-hoc Video Search (AVS) task. Our AVS task participation is based on a method that combines the linguistic analysis of the query and the concept-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::603bb49b57cffbb69f2ae875d92609b6
Publikováno v:
ICIP
In this work we propose a novel approach to the detection of anomalous events occurring in crowded scenes. Swarm theory is applied for the creation of a motion feature first introduced in this work, the Histograms of Oriented Swarm Accelerations (HOS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce0c3b8ce7bbbfd51d5a4e7643f14ab9
https://doi.org/10.1109/icip.2014.7025477
https://doi.org/10.1109/icip.2014.7025477
Publikováno v:
ICIP
The automated analysis of crowd behavior from videos has been a rather challenging problem to address due to the complexity and density of the motion, occlusions and local noise. A novel approach for the fast and reliable detection and characterizati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6078e25f258264c15bf5ed8ba1c9809
https://doi.org/10.1109/icip.2012.6467455
https://doi.org/10.1109/icip.2012.6467455
Publikováno v:
Annals of General Psychiatry
Annals of General Psychiatry, Vol 9, Iss Suppl 1, p S149 (2010)
Annals of General Psychiatry, Vol 9, Iss Suppl 1, p S149 (2010)
Materials and methods In this work, the Multidimensional Directed Information (MDI) [1] concept is adopted in order to examine the flow of information between EEG recordings from three different scalp sites with the objective to bring out and define
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40e25fbb42a251734052e580633ce2b5
http://europepmc.org/articles/PMC2991835
http://europepmc.org/articles/PMC2991835