2018
DOI: 10.1007/s11760-018-1362-1
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Systematic approach to binary classification of images in video streams using shifting time windows

Abstract: Multiple algorithms classifying frames in video sequences consider them only as separate images. After pointing out the properties of real-life recordings and classifications of their frames, we propose a new shifting time window approach for improving binary classifications. It proceeds in two steps: First, well-known classification algorithms are used separately for each frame to acquire preliminary classifications. Secondly, the results of the previous step are analyzed in relatively short sequences of cons… Show more

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Cited by 3 publications
(1 citation statement)
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“…Each approach has its own pros and cons. For instance, processing and deciding based on a single image is less complex and faster, while a sequence of consecutive images carries time-series information, which leads to better accuracy and robustness [ 9 ]. Most previous studies are established on single image approach.…”
Section: Introductionmentioning
confidence: 99%
“…Each approach has its own pros and cons. For instance, processing and deciding based on a single image is less complex and faster, while a sequence of consecutive images carries time-series information, which leads to better accuracy and robustness [ 9 ]. Most previous studies are established on single image approach.…”
Section: Introductionmentioning
confidence: 99%