| Title | Analysis of the Design of Digital Video Security Monitoring System Based on Bee Population Optimization Algorithm |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Fan, Xiaosong |
| Conference Name | 2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) |
| Keywords | Analytical models, Bee swarm algorithm, Couplings, Human Behavior, Mathematical model, Metrics, Optimization, pubcrawl, Resiliency, Sociology, Statistics, surveillance system, Video Security, video surveillance |
| Abstract | With the concept of "wireless city", 3G, WIFI and other wireless network coverages have become more extensive. Data transmission rate has achieved a qualitative leap, providing feasibility for the implementation of mobile video surveillance solutions. The mobile video monitoring system based on the bee population optimization algorithm proposed in this paper makes up for the defects of traditional network video surveillance, and according to the video surveillance system monitoring command, the optimal visual effect of the current state of the observed object can be rendered quickly and steadily through the optimization of the camera linkage model and simulation analysis. |
| DOI | 10.1109/ICISCAE51034.2020.9236892 |
| Citation Key | fan_analysis_2020 |
Analysis of the Design of Digital Video Security Monitoring System Based on Bee Population Optimization Algorithm