Image Recognition and Analysis: Results of Belarusian Scientists von Ablameyko, S. V.

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An effective algorithm to detect both smoke and flame using color and wavelet analysis von Ye, Shiping, Bai, Zhican, Chen, Huafeng, Bohush, R., Ablameyko, S.

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Person Tracking and Reidentification for Multicamera Indoor Video Surveillance Systems von Ye, S., Bohush, R. P., Chen, H., Zakharava, I. Yu, Ablameyko, S. V.

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Choice of Activation Function in Convolutional Neural Networks for Person Re-Identification in Video Surveillance Systems von Chen, H., Ihnatsyeva, S., Bohush, R., Ablameyko, S.

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Monitoring of Egg Growing in Video by the Improved DeepLabv3+ Network Model von Fengyang Gu, Zhu, Hui, Wang, Haiyang, Zhang, Yanbo, Zuo, Fang, Ablameyko, S.

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Formation and Development of Image Analysis and Pattern Recognition in the USSR, the Republic of Belarus, and the Russian Federation von Ablameyko, S. V., Gurevich, I. B., Yashina, V. V.

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Image Similarity Estimation Based on Ratio and Distance Calculation between Features von Bohush, R. P., Ablameyko, S. V., Adamovskiy, E. R., Savca, D.

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Some Scientific Results of the 16th International Conference PRIP-2023 von Ablameyko, S. V., Gurevich, I. B., Nedzved, A. M., Yashina, V. V.

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Person Re-identification in Video Surveillance Systems Using Deep Learning: Analysis of the Existing Methods von Chen, H., Ihnatsyeva, S. A., Bohush, R. P., Ablameyko, S. V.

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Development and Current State of the Scientific Direction “Pattern Recognition and Image Processing” in Belarus von Ablameyko, S. V., Krasnoproshin, V. V.

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Detection of Appearance and Behavior Anomalies in Stationary Camera Videos Using Convolutional Neural Networks von Chen, H., Bohush, R., Kurnosov, I., Ma, G., Weichen, Y., Ablameyko, S.

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Estimation of People Movement in Video Based on Optical Flow Block Method and Motion Maps von Chen, H., Bohush, R. P., Chen, Ch, Ablameyko, S. V.

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Segmentation and Feature Extraction of Endoscopic Images for Making Diagnosis of Acute Appendicitis von Ye, Shiping, Nedzvedz, A., Ye, Fangfang, Ablameyko, S.

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Tracking People in Video Using Neural Network Features and Facial Identification Taking into Account the Mask Mode von Shiping Ye, Kurnosov, I. L., Bohush, R. P., Ma, Guangdi, Weichen, Yang, Ablameyko, S. V.

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On Some Scientific Results of the 15th International Conference PRIP-2021 von Ablameyko, S. V., Gurevich, I. B., Krasnoproshin, V. V., Tuzikov, A., Yashina, V. V.

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Video-Based Content Recognition of Bank Cards with Mobile Devices von Chen, H., Ye, S., Kurilovich, A., Bohush, R., Ablameyko, S.

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Analysis of the Dynamical Biological Objects of Optical Microscopy von Ye, S., Nedzvedz, O., Nedzvedz, A., Ren, T., Chen, H., Ablameyko, S.

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Describing Motion of Dynamic Objects for a Moving Camera von Nedzved, O. V., Ablameyko, S. V., Gurevich, I. B., Yashina, V. V., Ren, Tiaojuan, Ye, Fangfang

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Application of Integral Optical Flow for Determining Crowd Movement from Video Images Obtained Using Video Surveillance Systems von Chen, H., Ye, Sh, Nedzvedz, O. V., Ablameyko, S. V.

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PRIA Journal Special Issue “Selected Papers of the 14th International Conference on Pattern Recognition and Information Processing (PRIP’2019), Minsk, Republic of Belarus, May 2019... von Ablameyko, S. V., Gurevich, I. B., Krasnoproshin, V. V., Lukashevich, M., Yashina, V. V.

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