A System for the Detection of Persons in Intelligent Buildings Using Camera Systems-A Comparative Study

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10245421" target="_blank" >RIV/61989100:27240/20:10245421 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/1424-8220/20/12/3558" target="_blank" >https://www.mdpi.com/1424-8220/20/12/3558</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/s20123558" target="_blank" >10.3390/s20123558</a>

Result language

angličtina

Original language name

A System for the Detection of Persons in Intelligent Buildings Using Camera Systems-A Comparative Study

Original language description

This article deals with the design and implementation of a prototype of an efficient Low-Cost, Low-Power, Low Complexity-hereinafter (L-CPC) an image recognition system for person detection. The developed and presented methods for processing, analyzing and recognition are designed exactly for inbuilt devices (e.g., motion sensor, identification of property and other specific applications), which will comply with the requirements of intelligent building technologies. The paper describes detection methods using a static background, where, during the search for people, the background image field being compared does not change, and a dynamic background, where the background image field is continually adjusted or complemented by objects merging into the background. The results are compared with the output of the Horn-Schunck algorithm applied using the principle of optical flow. The possible objects detected are subsequently stored and evaluated in the actual algorithm described. The detection results, using the change detection methods, are then evaluated using the Saaty method in order to determine the most successful configuration of the entire detection system. Each of the configurations used was also tested on a video sequence divided into a total of 12 story sections, in which the normal activities of people inside the intelligent building were simulated.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20201 - Electrical and electronic engineering

Project

<a href="/en/project/EF16_019%2F0000867" target="_blank" >EF16_019/0000867: Research Centre of Advanced Mechatronic Systems</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Sensors

ISSN

1424-3210

e-ISSN

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Volume of the periodical

20

Issue of the periodical within the volume

12

Country of publishing house

CH - SWITZERLAND

Number of pages

38

Pages from-to

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UT code for WoS article

000554690800001

EID of the result in the Scopus database

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