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Issue DateTitleAuthor(s)
2023Детектирование дыма на видеопоследовательностях в режиме реального времениБогуш, Р. П.; Адамовский, Е. Р.; Чен, X.; Bohush, R.; Adamovskiy, Y.; Chen, H.
2022Detection of Appearance and Behavior Anomalies in Stationary Camera Videos Using Convolutional Neural NetworksChen, H.; Bohush, R.; Kurnosov, I.; Ma, G.; Weichen, Y.; Ablameyko, S.
2022Choice of Activation Function in Convolutional Neural Networks for Person Re-Identification in Video Surveillance SystemsChen, H.; Ihnatsyeva, S.; Bohush, R.; Ablameyko, S.
2020Video-Based Content Recognition of Bank Cards with Mobile DevicesChen, H.; Ye, S.; Kurilovich, A.; Bohush, R.; Ablameyko, S.
2021Formalization of People and Crowd Detection and Tracking in VideoBohush, R.; Chen, H.; 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.
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.
2017An Effective Algorithm to Detect Both Smoke and Flame Using Color and Wavelet AnalysisYe, S.; Bai, Z.; Chen, H.; Bohush, R.; Ablameyko, S.