Videotasvirlardan olingan ma’lumotlar asosida shaxs pozasini tanib olishning neyrotarmoqli modeli

I. K. Himmatov

Илм-фан ва инновацион ривожланиш · 2023-yil

Annotatsiya

Nowadays, there are several ways of recognizing and identifying a person, and these keep enhancing day by day. However, cases of falsification of these methods can also be observed. Modern video surveillance systems keep on developing, and satellite systems enable us to photograph everything that happens in a certain area and analyze effectively the data obtained using neural networks. Video images help to monitor motions of people, detect illegal entries into prohibited areas, as well as to identify remaining criminals by means of photos taken from cameras and control exit and/or entry of wanted criminals to foreign countries by acquiring other biometric data. This system serves to catch criminals at airports, railway stations, seaports; it automatically counts numbers of people in a line or in a crowd and analyzes the nature of their movements, which lessens the amount of subjective human intervention and reduces time required for data processing. Moreover, neural network-based pose estimation system is now being used widely in sports, and this can distinguish between athletes and change their behavior based on their personal characteristics.

Maqola ma’lumotlari
MualliflarI. K. Himmatov
JurnalИлм-фан ва инновацион ривожланиш
NashriyotИнновацион ривожланиш вазирлиги
ISSN2181-9637, 2181-4317
Nashr sanasi2023-06-22
Jild6
Son3
Betlar33-43
TilO‘zbek
Ilmiy sohaTexnika
DOI10.36522/2181-9637-2023-3-3
Indeksga qo‘shilgan2026-09-02

DOI: 10.36522/2181-9637-2023-3-3 · Maqolaning asl sahifasi

Ilmiy soha

Texnika

Iqtibos keltirish

APAI. K. Himmatov (2023). VIDEOTASVIRLARDAN OLINGAN MA’LUMOTLAR ASOSIDA SHAXS POZASINI TANIB OLISHNING NEYROTARMOQLI MODELI. Илм-фан ва инновацион ривожланиш, 6(3), 33-43. https://doi.org/10.36522/2181-9637-2023-3-3
GOST (OAK)I. K. Himmatov VIDEOTASVIRLARDAN OLINGAN MA’LUMOTLAR ASOSIDA SHAXS POZASINI TANIB OLISHNING NEYROTARMOQLI MODELI // Илм-фан ва инновацион ривожланиш. – 2023. – T. 6, № 3. – B. 33-43. – DOI: 10.36522/2181-9637-2023-3-3.
MLAI. K. Himmatov. “VIDEOTASVIRLARDAN OLINGAN MA’LUMOTLAR ASOSIDA SHAXS POZASINI TANIB OLISHNING NEYROTARMOQLI MODELI.” Илм-фан ва инновацион ривожланиш, 6(3), 33-43, 2023. https://doi.org/10.36522/2181-9637-2023-3-3
ChicagoI. K. Himmatov. “VIDEOTASVIRLARDAN OLINGAN MA’LUMOTLAR ASOSIDA SHAXS POZASINI TANIB OLISHNING NEYROTARMOQLI MODELI.” Илм-фан ва инновацион ривожланиш, 6(3), 33-43 (2023). https://doi.org/10.36522/2181-9637-2023-3-3
HarvardI. K. Himmatov (2023) ‘VIDEOTASVIRLARDAN OLINGAN MA’LUMOTLAR ASOSIDA SHAXS POZASINI TANIB OLISHNING NEYROTARMOQLI MODELI’, Илм-фан ва инновацион ривожланиш, 6(3), 33-43. https://doi.org/10.36522/2181-9637-2023-3-3
BibTeX
@article{ikhimmatov2023,
  title = {VIDEOTASVIRLARDAN OLINGAN MA’LUMOTLAR ASOSIDA SHAXS POZASINI TANIB OLISHNING NEYROTARMOQLI MODELI},
  author = {I. K. Himmatov},
  journal = {Илм-фан ва инновацион ривожланиш},
  year = {2023},
  volume = {6},
  number = {3},
  pages = {33-43},
  doi = {10.36522/2181-9637-2023-3-3},
  url = {https://doi.org/10.36522/2181-9637-2023-3-3}
}

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