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Videoanalitika va kompyuter koʻrishi videoma’lumotlari yongʻinni avtomatik aniqlash imkonini beradi. Mazkur maqolada videotasvirdan yongʻinni aniqlashning samarali usullarini topish uchun turli xil algoritmlar amalga oshirildi. Shunday algoritmlardan biri sifatida rangga asoslangan yongʻinni aniqlash algoritmi tasvirlangan. Ushbu yondashuv asosida yongʻinni aniqlashda rang modelining oʻzidan foydalanish samarali natija bera olmaydi. Videotasvirdan yongʻinga oʻxshash obyektlardan yongʻinni ajratib olishda piksellar intensivligining vaqtinchalik oʻzgarishini baholash usulidan foydalanilgan. Bunda kadrlar ketma-ketligida intensivlikning oʻrtacha qiymati olinadi. Taklif etilayotgan usul samaradorligini koʻrsatish uchun OpenCV (Open Source Computer Vision Library) kutubxonasidan foydalanib, Python dasturlash tilida dasturiy ta’minot ishlab chiqildi va natijalar olindi.

  • O'qishlar soni 63
  • Nashr sanasi 14-04-2023
  • Asosiy tilO'zbek
  • Sahifalar13-21
Ўзбек

Videoanalitika va kompyuter koʻrishi videoma’lumotlari yongʻinni avtomatik aniqlash imkonini beradi. Mazkur maqolada videotasvirdan yongʻinni aniqlashning samarali usullarini topish uchun turli xil algoritmlar amalga oshirildi. Shunday algoritmlardan biri sifatida rangga asoslangan yongʻinni aniqlash algoritmi tasvirlangan. Ushbu yondashuv asosida yongʻinni aniqlashda rang modelining oʻzidan foydalanish samarali natija bera olmaydi. Videotasvirdan yongʻinga oʻxshash obyektlardan yongʻinni ajratib olishda piksellar intensivligining vaqtinchalik oʻzgarishini baholash usulidan foydalanilgan. Bunda kadrlar ketma-ketligida intensivlikning oʻrtacha qiymati olinadi. Taklif etilayotgan usul samaradorligini koʻrsatish uchun OpenCV (Open Source Computer Vision Library) kutubxonasidan foydalanib, Python dasturlash tilida dasturiy ta’minot ishlab chiqildi va natijalar olindi.

Русский

В работе рассматриваются достижения в области видеоаналитики и компьютерного зрения, позволяющие автоматически обнаруживать возгорания по видеоданным. Для поиска эффективных методов обнаружения пожара по видео реализованы различные алгоритмы. В качестве одного из них описывается алгоритм обнаружения пожара на основе цвета. Однако использование только одной цветовой модели для обнаружения пожара является неэффективным подходом. В работе предложен метод оценки временных изменений интенсивности пикселей, который используется для извлечения информации о возгораниях из огнеподобных объектов на видеоизображении. В данном методе вычисляется среднее значение интенсивности в последовательности кадров. Для демонстрации эффективности предложенного метода было разработано программное обеспечение на языке программирования Python с использованием библиотеки OpenCV (Open Source Computer Vision Library), были получены соответствующие результаты.

English

The paper reviews achievements made in the field of video analytics and computer vision, which enable the automatic detection of fires, based on video data. Various algorithms have been implemented in sought for effective fire detection methods using video. As one of these, a colour-based fire detection algorithm is being described. However, using only one colour model for fire detection is an inefficient approach. The paper proposes a method for estimating temporal changes in pixel intensity, which is used to retrieve information about fires from fire-like objects in a video image. This method helps to calculate the average intensity value in a sequence of shots. A special software has been developed in the Python programming language using the OpenCV (Open Source Computer Vision Library) library, and the corresponding findings have been gained in view to demonstrate the effectiveness of the proposed method.

Muallifning F.I.Sh. Lavozimi Tashkilot nomi
1 Axatov A.R. texnika fanlari doktori, professor, xalqaro hamkorlik bo‘yicha prorektor Sharof Rashidov nomidagi Samarqand davlat universiteti
2 Tojiyev M.R. “Kompyuter ilmlari va dasturlashtirish” kafedrasi doktoranti Mirzo Ulugʻbek nomidagi O‘zbekiston Milliy universiteti Jizzax filial
3 Shirinboyev R.S. “Kompyuter ilmlari va dasturlashtirish” kafedrasi magistranti Mirzo Ulugʻbek nomidagi O‘zbekiston Milliy universiteti Jizzax filial
Havola nomi
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