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The Development of an Automated Stream Recognition System and Track of Persons

Student: Kapelinskiy Dmitry

Supervisor: Boris Pozin

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Computer Systems and Networks (Master)

Final Grade: 8

Year of Graduation: 2019

The presented final qualifying paper is written on the theme “The Development of an Automated Stream Recognition System and Track of Persons”. The aim of the work is to develop a system of recognition and accompaniment of persons for the security service of enterprises. The main task of the work is to improve the quality of face recognition. The first chapter describes the main problems of the prototype being developed and sets tasks for solving the identified problems. In the second chapter, the concept of an object of protection is specified with recommendations for the placement of video surveillance cameras, a block diagram of the System is painted, the main parameters and quality indicators for evaluating the System’s operation are defined. System architecture was also chosen. In the third chapter, a methodology of experiments was developed, the most effective method of recognition was determined out of the three studied according to selected performance indicators. In this work, higher recognition quality results are obtained in comparison with the initial data. The work consists of 59 pages, includes 20 tables, 15 images and 11 references to sources were made.

Full text (added May 25, 2019)

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