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