Person tracking algorithm based on convolutional neural network for indoor video surveillance

In this paper, a person tracking algorithm for indoor video surveillance is presented. The algorithm contains the following steps: person detection, person features formation, features similarity calculation for the detected objects, postprocessing, person indexing, and person visibility determinati...

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Bibliographic Details
Main Authors: Rykhard Bohush, Iryna Zakharava
Format: Article
Language:English
Published: Samara National Research University 2020-02-01
Series:Компьютерная оптика
Subjects:
Online Access:http://computeroptics.smr.ru/KO/PDF/KO44-1/440114.pdf