VIDEO IMAGE FIRE DETECTION ALGORITHM BASED ON SPATIO-TEMPORAL RELATIONSHIPS

Maruf Tojiyev; Akmal Akhatov

Authors

Tojiyev Ma’ruf Jizzakh branch of the National University of Uzbekistan named after Mirzo Ulugbek
Akhatov Akmal Samarkand State University named after Sharaf Rashidov

Keywords:

Fire detection,, Video imagery, Spatial-temporal relationships, Object tracking, Temporal change analysis, Fire shape analysis, Detection accuracy, Fire safety.

Abstract

This article presents an algorithm designed for the detection of fires within video sequences through the application of video data analysis techniques. The proposed methodology encompasses stages of image preprocessing, analysis of pixel color values, and the assessment of spatio-temporal relationships within a sequential array of video frames, all aimed at the identification of potential fire-prone regions. The algorithm offers significant utility within video surveillance systems, primarily intended for the domains of fire detection and security. Empirical experimentation has substantiated the algorithm's robust efficiency across diverse environmental conditions, underscoring its preeminence when compared to prevailing methodologies for fire detection within video imagery. This study holds practical import, particularly within the realms of safety and emergency management systems.

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