Fire investigation method using completely blocked surveillance cameras
WANG Guanning1,2, CHEN Tao1, MI Wenzhong3,4, KANG Yanwu2, DENG Liang5
1. Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China; 2. Gansu Fire and Rescue Department, Lanzhou 730000, China; 3. Hefei Institute for Public Safety Research, Tsinghua University, Hefei 320601, China; 4. Fire and Rescue Department, Ministry of Emergency Management, Beijing 100032, China; 5. School of Investigation, China People's Police University, Langfang 065000, China
Abstract：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.
王冠宁, 陈涛, 米文忠, 康彦武, 邓亮. 监控完全遮挡场景下火灾调查方法[J]. 清华大学学报（自然科学版）, 2021, 61(2): 128-134.
WANG Guanning, CHEN Tao, MI Wenzhong, KANG Yanwu, DENG Liang. Fire investigation method using completely blocked surveillance cameras. Journal of Tsinghua University(Science and Technology), 2021, 61(2): 128-134.
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2021, Vol. 61 
