Abstract: In order to solve the problems of limited monitoring range,unreasonable allocation of monitoring resources,and untimely detection of moving targets in intelligent video surveillance systems under special application scenarios,the use of radar to detect electromagnetic waves has astrong penetration ability,large search range,and being not subject to special weather and optical conditions.Combined with the flexibility and maneuverability of unmanned aerial vehicles and automatic navigation vehicles,this paper proposes a radar-directed integrated linkage video surveillance model,and on this basis,studies a unified coordinate positioning system based on geodetic coordinates and intelligent assignment and positioning algorithm of moving target based on fuzzy neural network optimized by particle swarm optimization.The algorithm can automatically solve the control parameters of each camera in three dimensions of horizontal,vertical and zoom according to the radar detection signal,and combines the linkage control system to achieve real-time positioning and tracking of moving targets.Through field tests at a cultural relics protection site,the accuracy of the target positioning accuracy of the geodetic positioning system reaches 99.6%,and the accuracy rate of the intelligent assignment algorithm for moving targets based on the fuzzy neural network reaches 95%,which can achieve precise positioning and intelligent allocation of monitoring resources,and has high practical application value.

Key words: Fuzzy neural network, Intelligent assignment, Intelligent video surveillance, Particle swarm optimization, Target positioning