Research And Realization Of Target State Detection Method Based On Bank Video Surveillance System

This paper focuses on the management and control of the banking industry compliance management,and proposes the use of intelligent monitoring systems for real-time intelligent compliance management to enhance the auxiliary functions of intelligent monitoring systems in helping banks reduce operational risks.Try to use image processing technology to help monitor the status of personnel in the banking financial institutions' business premises and realize the purpose of using intelligent monitoring systems instead of human resources.This paper will focus on the research and implementation of target tracking algorithms for banking institutions with scenarios based on intelligent monitoring systems.(1)Based on the basic principle of particle filter target tracking algorithm,the construction of target tracking dynamic model and apparent model is completed,and the tracking algorithm is designed.(2)Combining the particle swarm and adaptive algorithm concept,the optimization of the particle filter target tracking algorithm for the situation that the bank and financial institutions may exist in the work.(3)Through the fusion of color and texture features,the bank's video intelligent monitoring of the crowd density estimation simulation of cash sites,the accuracy of the optimized particle swarm filtering algorithm of the experiment single feature and feature fusion in the population density,and the particle filtering of feature fusion The feasibility of the algorithm is verified.Through the above research,improve the practicality of the intelligent monitoring system in the bank scene,realize the target intelligent identification and tracking of the bank scene,accurately count the population density,track the target status,realize the purpose of replacing the human monitoring with intelligent monitoring,and improve the financial institution.Regulatory level and reduce operational risk.