Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Constantinos Lalos"'
Autor:
Athanasios Voulodimos, Nikolaos Doulamis, Christos Stentoumis, Anastasios Doulamis, Constantinos Lalos
Publikováno v:
2016 IEEE International Conference on Imaging Systems and Techniques (IST)
In this paper we describe a method to visually recognize activities from video streams driven by a robust tracking algorithm. The tracking algorithm uses object flow as a motion model that estimates the displacement and the direction of objects in im
Autor:
Vasileios Anagnostopoulos, Dimitrios Kosmopoulos, Constantinos Lalos, Athanasios Voulodimos, Theodora Varvarigou, Emmanuel Sardis, Georgios Vasileiou, Anastasios Doulamis
Publikováno v:
IEEE Multimedia. 19:42-52
Unlike any previous effort, the Workflow Recognition (WR) large-scale dataset is a collection of video sequences from the real industrial manufacturing environment of a major automobile manufacturer.
Autor:
Constantinos Lalos, Anastasios Doulamis, Dimitrios Kosmopoulos, Theodora Varvarigou, Vassileios Anagnostopoulos, Georgios Vasileiou, Athanasios Voulodimos, Emmanuel Sardis
Publikováno v:
ICIP
In this paper we introduce the WR (Workflow Recognition) dataset. Recorded in the production line of a major automobile manufacturer, this dataset consists of sequences that depict workers executing industrial workflows. The heavy occlusions, outlier
Publikováno v:
Computer Vision – ACCV 2010 Workshops ISBN: 9783642228216
ACCV Workshops (1)
ACCV Workshops (1)
Modelling the dynamic behaviour of moving objects is one of the basic tasks in computer vision. In this paper, we introduce the Object Flow, for estimating both the displacement and the direction of an object-of-interest. Compared to the detection an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1cdabb79a11297f14dd3a56a96d52e9
https://doi.org/10.1007/978-3-642-22822-3_14
https://doi.org/10.1007/978-3-642-22822-3_14
Autor:
Galina Veres, Manolis Sardis, Albert Hofmann, Mark S. Nixon, Constantinos Lalos, Rene Schuster, Dimitrios Kosmopoulos, Nikolaos Doulamis, Zoheir Sabeur, Theodora Varvarigou, Helmut Grabner, Rolando Palma Zelada, Vassileios Anagnostopoulos, Severin Stalder, Lee Middleton, Marcus Thaler, Luc Van Gool, Banafshe Arbab-Zavar, Imed Bouchrika, Ignacio Jubert Soler, John N. Carter, Roland Mörzinger, Athanasios Voulodimos, Igor Rosenberg, Georg Thallinger
Publikováno v:
ARTEMIS@ACM Multimedia
This paper describes a tool chain for monitoring complex workflows. Statistics obtained from automatic workflow monitoring in a car assembly environment assist in improving industrial safety and process quality. To this end, we propose automatic dete
Autor:
Emmanouel Sardis, Vasilios Anagnostopoulos, Anastasios Doulamis, Constantinos Lalos, Athanasios Voulodimos, Dimitrios Kosmopoulos
Publikováno v:
PETRA
In this paper, we present the research achievements of a computer vision system that surveys the behavior of workers in an industrial environment. The proposed system applies weakly supervised learning algorithms able to detect objects, then to extra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c338a0647ab4252a6d813fe56ecd0f8
http://dl.acm.org/citation.cfm?id=1839373
http://dl.acm.org/citation.cfm?id=1839373
Publikováno v:
PETRA
Camera based supervision is a critical component for patient monitoring in assistive environments. However, visual tracking still remains one of the biggest challenges in the area computer vision although it has been extensively studied during the pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c314b85fa58aa05a43eb8935b8122ebc
http://dl.acm.org/citation.cfm?id=1579178
http://dl.acm.org/citation.cfm?id=1579178
Autor:
Vasilios Anagnostopoulos, Anastasios Doulamis, Matthew Addis, Helmut Neuschmied, Constantinos Lalos, Sotiris Chatzis, Eduardo Bustos, Georg Thallinger, Dimitrios Kosmopoulos, Stuart E. Middleton, Theodora Varvarigou, Fabrizio Giorgini
Publikováno v:
AXMEDIS
The POLYMNIA project aims to develop an intelligent cross-media platform for personalised leisure and entertainment in thematic parks or venues. The system allows the visitors to be the real protagonist in the venue. Towards this goal, POLYMNIA platf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db13657f1342d4e50200b8eef65754f1
https://hdl.handle.net/20.500.14279/2912
https://hdl.handle.net/20.500.14279/2912
Autor:
OLUGBADE, TEMITAYO1 temitayo.olugbade.13@ucl.ac.uk, BIEŃKIEWICZ, MARTA2 marta.bienkiewicz@umontpellier.fr, BARBARESCHI, GIULIA1 giulia.barbareschi.14@ucl.ac.uk, D’AMATO, VINCENZO3 vincenzo.damato92@gmail.com, ONETO, LUCA3 luca.oneto@gmail.com, CAMURRI, ANTONIO3 antonio.camurri@unige.it, HOLLOWAY, CATHERINE1 c.holloway@ucl.ac.uk, BJÖRKMAN, MÅRTEN4 celle@kth.se, KELLER, PETER5 p.keller@westernsydney.edu.au, CLAYTON, MARTIN6 martin.clayton@durham.ac.uk, DE C. WILLIAMS, AMANDA C.1 amanda.williams@ucl.ac.uk, GOLD, NICOLAS1 n.gold@ucl.ac.uk, BECCHIO, CRISTINA7 cristina.becchio@iit.it, BARDY, BENOÎT2 benoit.bardy@umontpellier.fr, BIANCHI-BERTHOUZE, NADIA1 nadia.berthouze@ucl.ac.uk
Publikováno v:
ACM Computing Surveys. Jul2023, Vol. 55 Issue 6, p1-29. 29p.
Publikováno v:
2016 IEEE International Conference on Image Processing (ICIP); 2016, p1609-1613, 5p