Application of dynamic saliency maps to the video stream recognition systems with image quality assessment

Timofey S. Chernov; Sergey A. Ilyuhin; Vladimir V. Arlazarov

doi:10.1117/12.2522768

15 March 2019 Application of dynamic saliency maps to the video stream recognition systems with image quality assessment

Timofey S. Chernov, Sergey A. Ilyuhin, Vladimir V. Arlazarov

Author Affiliations +

Proceedings Volume 11041, Eleventh International Conference on Machine Vision (ICMV 2018); 110410T (2019) https://doi.org/10.1117/12.2522768
Event: Eleventh International Conference on Machine Vision (ICMV 2018), 2018, Munich, Germany

Abstract

In this paper we propose an original approach to optical video stream recognition system design, introducing new modules for image quality assessment, image quality correction and feedback. The main novelty of the proposed approach lays in combining image quality assessment results with the global dynamic object saliency maps which indicate the importance or the informative value of the corresponding image regions. The approach is applied to the identity documents video stream recognition system, where saliency maps are initially provided by document templates and are dynamically changing over time – for example, according to per-field stopping rules. Experiments demonstrated an increase of such essential recognition systems characteristics as accuracy, reliability and performance.

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Timofey S. Chernov, Sergey A. Ilyuhin, and Vladimir V. Arlazarov "Application of dynamic saliency maps to the video stream recognition systems with image quality assessment", Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 110410T (15 March 2019); https://doi.org/10.1117/12.2522768

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