Sequential Boolean Background Estimation and Phasor Based Objects Segmentation

Result code in 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>
Result on the web
<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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Result language
angličtina
Original language name
Sequential Boolean Background Estimation and Phasor Based Objects Segmentation
Original language description
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.
Czech name
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Czech description
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Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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