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Abstract
in the paper, after pointing out of realistic recordings and classifications of their frames, we propose a new shifting time window approach for improving binary classifications. We consider image classification in tewo steps. in the first one the well known binary classification algorithms are used for each image separately. In the second step the results of the previous step mare analysed in relatively short sequences of consecutive images. Taking into account the nature of the recorded and analysed video frame sequences, some corrections of the binary classification sequences can be done. In consequence the quality of the considered classification algorithm can be improved. Furthermore, we offer a systematic approach where all parameters of the proposed algorithm such as the window lenght or parmeters of the vote in the window can be considered and their optimal values properly determined. we also present representative examples which confirm the advantages of the proposed approach.
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Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/s11760-018-1362-1
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Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
Signal Image and Video Processing
no. 13,
pages 341 - 348,
ISSN: 1863-1703 - Language:
- English
- Publication year:
- 2019
- Bibliographic description:
- Blokus A., Krawczyk H.: Systematic approach to binary classification of images in video streams using shifting time windows// Signal Image and Video Processing. -Vol. 13, iss. (2019), s.341-348
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/s11760-018-1362-1
- Verified by:
- Gdańsk University of Technology
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