Search
Details
- Project's acronym:
- CD NIWA
- Financial Program Name:
- Innowacyjna Gospodarka
- Organization:
- Narodowe Centrum Badań i Rozwoju (NCBR) (The National Centre for Research and Development)
- Agreement:
- POIG.02.03.00-22-059/13 z dnia 2013-11-20
- Realisation period:
- 2013-11-01 - 2015-12-31
- Project manager:
- prof. dr hab. inż. Henryk Krawczyk
- Realised in:
- Academic Computer Centre TASK
- Project's value:
- 50 440 831.32 PLN
- Request type:
- European Founds
- Domestic:
- Domestic project
- Verified by:
- Gdańsk University of Technology
Papers associated with that project
Filters
total: 5
Catalog Projects
Year 2019
-
Mądre podejmowanie decyzji w sytuacjach problematycznych poprawiajace wybór rozwiązań
PublicationPrzedstawiono klasyfikację problemów od precyzyjnie zdefiniowanych do intuicyjnie zrozumiałych. Dla tych drugich zaproponowano nowy model wyboru rozwiązań uwzględniający ocenę ich zalet i wad. Rozpatrzono zarówno indywidualne jak i zespołowe procedury podejmowania takich decyzji. Zasygnalizowano możliwości występowania nierozstrzygalnych sytuacji, które wymagają mądrych ludzkich działań. Sprowadzają się one do wyboru właściwej...
Year 2018
-
Image Classification Based on Video Segments
PublicationIn the dissertation a new method for improving the quality of classifications of images in video streams has been proposed and analyzed. In multiple fields concerning such a classification, the proposed algorithms focus on the analysis of single frames. This class of algorithms has been named OFA (One Frame Analyzed).In the dissertation, small segments of the video are considered and each image is analyzed in the context of its...
-
Impact of Shifting Time-Window Post-Processing on the Quality of Face Detection Algorithms
PublicationWe consider binary classification algorithms, which operate on single frames from video sequences. Such a class of algorithms is named OFA (One Frame Analyzed). Two such algorithms for facial detection are compared in terms of their susceptibility to the FSA (Frame Sequence Analysis) method. It introduces a shifting time-window improvement, which includes the temporal context of frames in a post-processing step that improves the...
-
Improving Traffic Light Recognition Methods using Shifting Time-Windows
PublicationWe propose a novel method of improving algorithms recognizing traffic lights in video sequences. Our focus is on algorithms for applications which notify the driver of a light in sight. Many existing methods process images in the recording separately. Our method bases on the observation that real-life videos depict underlying continuous processes. We named our method FSA (Frame Sequence Analyzed). It is applicable for any underlying...
Year 2015
-
Tryton Supercomputer Capabilities for Analysis of Massive Data Streams
PublicationThe recently deployed supercomputer Tryton, located in the Academic Computer Center of Gdansk University of Technology, provides great means for massive parallel processing. Moreover, the status of the Center as one of the main network nodes in the PIONIER network enables the fast and reliable transfer of data produced by miscellaneous devices scattered in the area of the whole country. The typical examples of such data are streams...
seen 850 times