59 citations · 70 across the 9 of their papers we have counts for
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cs.CV2022★ 4 cited
Machine Learning and Computer Vision Techniques in Continuous Beehive Monitoring Applications: A survey
Simon Bilik, Tomas Zemcik, Lukas Kratochvila +4
Wide use and availability of the machine learning and computer vision techniques allows development of relatively complex monitoring systems in many domains. Besides the traditiona…
cs.CV2022
Feature space reduction as data preprocessing for the anomaly detection
Simon Bilik, Karel Horak
In this paper, we present two pipelines in order to reduce the feature space for anomaly detection using the One Class SVM. As a first stage of both pipelines, we compare the perfo…
cs.CV2022★ 6 cited
SIFT and SURF based feature extraction for the anomaly detection
Simon Bilik, Karel Horak
In this paper, we suggest a way, how to use SIFT and SURF algorithms to extract the image features for anomaly detection. We use those feature vectors to train various classifiers…