Research on personnel positioning in intelligent firefighting system based on DeepSORT algorithm
In recent years,the fire safety problem caused by the frequent occurrence of fires has become one of the research hotspots,and the personnel positioning problem in electrical fire protection has become a key issue.This paper combines the DeepSORT algorithm with the spatial coordinate conversion algorithm to detect and locate the position of the trapped personnel in real-time when the fire occurs,the algorithm uses the improved Kalman filter combined with the Hungary calculator to identify and match and update the trajectory of personnel movement,and then display the personnel positioning in real-time through coordinate conversion after identification.It solves the problem that it is difficult to accurately identify and accurately locate the target,and reduces the error caused by the detection of personnel in the multi-target recognition,to achieve the accurate and fast recognition effect of multi-target in complex buildings.
smart fire protectionDeepSORT algorithmpersonnel positioningobject detection
NETL
NSTL
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