Fire investigation method using completely blocked surveillance cameras

被引：0

作者：

Wang G. ^{[1
,2
]}

Chen T. ^{[1
]}

Mi W. ^{[3
,4
]}

Kang Y. ^{[2
]}

Deng L. ^{[5
]}

机构：

[1] Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing

[2] Gansu Fire and Rescue Department, Lanzhou

[3] Hefei Institute for Public Safety Research, Tsinghua University, Hefei

[4] Fire and Rescue Department, Ministry of Emergency Management, Beijing

[5] School of Investigation, China People's Police University, Langfang

来源：

Qinghua Daxue Xuebao/Journal of Tsinghua University | 2021年 / 61卷 / 02期

关键词：

Accident investigation; Fire origin positioning; Illumination analyses; Monocular vision; Video analyses;

D O I：

10.16511/j.cnki.qhdxxb.2020.22.029

中图分类号：

学科分类号：

摘要：

Video analyses are a key part of fire investigations. However, the cause of the fire cannot be easily determined when the surveillance cameras are completely blocked. This study analyzes fire location methods when the surveillance cameras are completely blocked based on video analyses. An oil pan pool fire is used to simulate an indoor fire scenario. The charge-coupled device (CCD) camera views are completely blocked with the videos of the fire scene then collected for analysis. A two-dimensional reconstruction of the fire scene is first created by combining the surveillance videos with the scene information. Then, the fire origin is initially estimated based on optical path analyses and further clarified by spatial illumination analyses. Finally, monocular visual positioning is used to combine the results to locate the fire origin. Tests show that the monocular visual positioning method based on the optical path and illumination analysis using completely blocked surveillance cameras can accurately locate the fire origin as a powerful tool for fire investigations. © 2021, Tsinghua University Press. All right reserved.

引用

页码：128 / 134

页数：6

共 16 条

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