智能视频内容分析系统设计与实现  

Design and Implementation of Intelligent Video Content Analysis System

作　　者：盛仲飙 SHENG Zhong-biao(School of Computer Science and Technology,Weinan Normal University,Weinan 714019,China)

机构地区：[1]渭南师范学院计算机学院,陕西渭南714019

出　　处：《电脑知识与技术》2021年第33期83-85,共3页Computer Knowledge and Technology

基　　金：产学合作协同育人项目(202101069015)。

摘　　要：智能视频内容分析系统已经在许多领域得到了广泛的应用,已经成为智能化处理的一个热点。该系统的主要任务是对于一段给定的视频,检测出其中的运动物体,再从众多的运动物体中识别出满足特定要求的物体,最后完成对识别出的运动物体的跟踪。针对背景减去法和帧差法的缺点,采用背景减去法与帧差法相结合的方法进行目标检测;采用基于kalman滤波器的Camshift跟踪算法进行跟踪。该系统有效地提高了跟踪的准确度和运行速度,真正实现视频监控的智能化。Intelligent video content analysis system has been widely used in many fields and has become a focus in the intelligent processing.The main task of the system is to detect the moving objects in a given video,and then to identify to objects that meet the specific requirements from a number of moving objects,and finally to complete the tracking of the identified moving objects.Aiming at the shortcomings of background subtraction and frame difference method,background subtraction and frame difference method are combined to detect the target.The system adopts Camshift tracking algorithm based on Kalman filter for tracking.The system improves the tracking accuracy and running speed effectively,and realizes the intelligentization of video surveillance.

关 键 词：运动目标检测 运动目标识别 CAMSHIFT算法 KALMAN滤波器 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]