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Results 11-20 of 21 (Search time: 0.003 seconds).
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Issue DateTitleAuthor(s)
2022Object Detection in Video Surveillance Based on Multiscale Frame Representation and Block Processing by a Convolutional Neural NetworkBohush, R.; Ma, G.; Yang, W.; Ablameyko, S.
2022Formalization of People and Crowd Detection and Tracking for Smart Video SurveillanceChen, H.; Bohush, R.; Ablameyko, S.
2021Estimation of People Movement in Video Based on Optical Flow Block Method and Motion MapsChen, H.; Bohush, R.; Chen, C.; Ablameyko, S.
2022Estimation CNN-Based Person Re-Identification Accuracy in Video Using Different DatasetsYe, S.; Ihnatsyeva, S.; Bohush, R.; Chen, C.; Ablameyko, S.
2020Effective Object Localization in Images by Calculating Ratio and Distance Between PixelsBohush, R.; Ablameyko, S.; Adamovskiy, Y.; Glukhov, D.
2020Image Similarity Estimation Based on Ratio and Distance Calculation between FeaturesBohush, R.; Ablameyko, S.; Adamovskiy, E.; Savca, D.
2022Person re-identification accuracy improvement by training a CNN with the new large joint dataset and re-rankBohush, R.; Ihnatsyeva, S.; Ablameyko, S.
2023Person Re-identification in Video Surveillance Systems Using Deep Learning: Analysis of the Existing MethodsChen, H.; Ihnatsyeva, S.; Bohush, R.; Ablameyko, S.
2020Person Tracking and Reidentification for Multicamera Indoor Video Surveillance SystemsYe, S.; Bohush, R.; Chen, H.; Zakharava, I.; Ablameyko, S.
2023Tracking People in Video Using Neural Network Features and Facial Identification Taking into Account the Mask ModeYe, Shiping; Kurnosov, I.; Bohush, R.; Ma, Guangdi; Weichen, Yang; Ablameyko, S.