Mathematical Modeling of Pursuit-Evasion System for Video Surveillance Network

Wenjun Wang, Fanliang Bu
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Abstract

This paper mainly proposed a kind of algorithm based on moving object detection and direction recognition, with a variety of data in video surveillance system, constructing a moving objects trajectories system with a combination of artificial and video surveillance system, to find escape routes of suspects accurately and make work easy for investigators. This system was created by Python language, MySQL database language and Open CV direction recognition technology, completing usage of map, creating database structure and recognizing the direction of a moving object, to predict object moving direction.
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视频监控网络追逃系统的数学建模
本文主要提出了一种基于运动物体检测和方向识别的算法,结合视频监控系统中的各种数据,构建一个人工与视频监控系统相结合的运动物体轨迹系统,准确地找到犯罪嫌疑人的逃跑路线,方便侦查人员工作。本系统采用Python语言、MySQL数据库语言和Open CV方向识别技术,完成地图的使用,创建数据库结构,识别运动物体的方向,预测物体的运动方向。
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