Fire Detection in the Field of Color and Fire Motion, Using the Differential Method

Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
View: 524

This Paper With 6 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

ICTCK03_069

تاریخ نمایه سازی: 10 تیر 1396

Abstract:

Fire is one of the significant problems of today s world and creates irrecoverable damages for humanity so that providing a smart fire alarm and extinguish system is inevitable. Currently, there are many different fire alarm systems but they are not recommended due to limited mechanical function and/or life cycle as well as the high costs and limitation of detecting distance. As today security cameras are installed everywhere, using them as fire alarm system will not only reduces the costs significantly, but also removes the abovementioned disadvantages remarkably. This paper attempts to detect fire quickly with high accuracy. In order to do this, first, the color zone of fire in YCbCr and RGB color system which contributes to finding suitable candidate point for fire in these systems based on natural color is studied. Regarding the fact that studying color zone is faster than movement zone, this method, first, investigates color zone and will consider the movement zone, in case if there is a suitable candidate. Movement zone deals with fire movement and its differentiation in this paper. In this study, only those points are considered fire which have movement and the color characteristics of fire. In this method which has been performed in color and movement zone a relative improvement in fire detection is observed and also there is a relative increase in TP and FP values, compared with those in the previous papers. The average of improvement of this method is about 0.86%, compared with Tung method.

Authors

Emad Oghabi

Department of Electrical Engineering, Mashhad Branch, Islamic Azad University,Mashhad, Iran

Saeed Toosizadeh

Department of Electrical Engineering,Mashhad Branch, Islamic Azad University,Mashhad, Iran

Aliakbar Khazaei

Department of Electrical Engineering,Mashhad Branch, Islamic Azad University,Mashhad, Iran

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • Li, Meng Xin, Wei Jing Xu, Ying Zhang, and Jing ...
  • _ _ Processing 23, no. 6 (2013): 1827-1843. ...
  • _ _ _ detection." Pattern recognition letters 27, no. 1 ...
  • Philips, W. "M. shah, NV Lobo, " Flame recognition in ...
  • th IEEE workshop on application of computer vision, pp. 224-229. ...
  • Liu, Che-Bin, and Narendra Ahuja. "Vision based fire detection: In ...
  • Chen, Thou-H, Ping-Hsueh Wu, and Yung-Chuen Chiou. "An early fire-detection ...
  • Han, Dongil, and Byoungmoo Lee. "Development of early tunnel fire ...
  • Chen, Thou-Ho, Yen-Hui Yin, Shi-Feng Huang, and Yan-Ting Ye. "The ...
  • _ _ _ _ _ _ _ _ _ commercial ...
  • _ _ _ [11] _ _ _ _ 158. ...
  • _ _ _ _ _ _ (Part III: _ [13] ...
  • نمایش کامل مراجع