Sequential Boolean Background Estimation and Phasor Based Objects Segmentation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43965715" target="_blank" >RIV/49777513:23520/22:43965715 - isvavai.cz</a>

Výsledek na webu

<a href="http://hdl.handle.net/11025/48792" target="_blank" >http://hdl.handle.net/11025/48792</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Sequential Boolean Background Estimation and Phasor Based Objects Segmentation

Popis výsledku v původním jazyce

Object to background segmentation is the basic image processing and analysis step in many tasks: feature selection and extraction, detection, tracking, region of interest for neural network training, classification, etology (Urbanova et al. [2020]). For the behavior analysis, for example of swarms, herds, flocks, shoals, or crowds, the segmentation is carried out on the frames or images from video or time lapse photography, respectively. Segmentation, in this case, requires distinction of the moving objects from the actual background. Therefore, it is useful to generates the estimated background image for automatic segmentation. To evaluate the differences between estimated background and given image/frame, and fulfill the segmentation, metric based on phasor analyssis is adopted.

Název v anglickém jazyce

Sequential Boolean Background Estimation and Phasor Based Objects Segmentation

Popis výsledku anglicky

Object to background segmentation is the basic image processing and analysis step in many tasks: feature selection and extraction, detection, tracking, region of interest for neural network training, classification, etology (Urbanova et al. [2020]). For the behavior analysis, for example of swarms, herds, flocks, shoals, or crowds, the segmentation is carried out on the frames or images from video or time lapse photography, respectively. Segmentation, in this case, requires distinction of the moving objects from the actual background. Therefore, it is useful to generates the estimated background image for automatic segmentation. To evaluate the differences between estimated background and given image/frame, and fulfill the segmentation, metric based on phasor analyssis is adopted.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

20205 - Automation and control systems

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů