Browsing by Author Ablameyko, S.

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Issue DateTitleAuthor(s)
2003A Gray-Scale Object Correlation DetectionBogush, R.; Maltsev, S.; 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.
2018An Effective Object Detection Algorithm for High Resolution Video by Using Convolutional Neural NetworkVorobjov, D.; Zakharava, I.; Bohush, R.; 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.
2002Correlation Search for Binary Objects in Linages by Factorizing Raster MatricesAblameyko, S.; Bogush, R.
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.
2020Effective Object Localization in Images by Calculating Ratio and Distance Between PixelsBohush, R.; Ablameyko, S.; Adamovskiy, Y.; Glukhov, D.
2022Estimation CNN-Based Person Re-Identification Accuracy in Video Using Different DatasetsYe, S.; Ihnatsyeva, S.; Bohush, R.; Chen, C.; Ablameyko, S.
2021Estimation of People Movement in Video Based on Optical Flow Block Method and Motion MapsChen, H.; Bohush, R.; Chen, C.; Ablameyko, S.
2019Extraction of Image Parking Spaces in Intelligent Video Surveillance SystemsBohush, R.; Yarashevich, P.; Ablameyko, S.; Kalganova, T.
2022Formalization of People and Crowd Detection and Tracking for Smart Video SurveillanceChen, H.; Bohush, R.; Ablameyko, S.
2021Formalization of People and Crowd Detection and Tracking in VideoBohush, R.; Chen, H.; Ablameyko, S.
2020Image Similarity Estimation Based on Ratio and Distance Calculation between FeaturesBohush, R.; Ablameyko, S.; Adamovskiy, E.; Savca, D.
2021Joint Dataset for CNN-based Person Re-identificationIhnatsyeva, S.; Bohush, R.; Ablameyko, S.
2021Object detection algorithm for high resolution images based on convolutional neural network and multiscale processingBohush, R.; Ablameyko, S.; Ihnatsyeva, S.; Adamovskiy, Y.
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.
2023People Detecting and Tracking in Video by CNN YOLO and StrongSORT Combined AlgorithmQuan, H.; Bohush, R.; Ma, G.; Weichen, Y.; Ablameyko, S.
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.