文档介绍：长春工程学院高级自动化结课论文
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摘 要
随着传感器技术与通信技术的开展,越来越多的传感器被纳入到一体化网络中参与协同作战。信息融合技术能够解决不同平台上传感器所获信息的融合问题,改善系统的目标检测与跟踪性能,已逐渐成为学术:传感器网络 协同跟踪 表情识别 图像处理
长春工程学院高级自动化结课论文
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Abstract
Along with the increasingly serious of international situation, it is increasing thatdemanding for security in field of immigration clearance, criminal investigation,anti-terrorism and military installations. Consequently, to recognize person identity speedyand exactly in large-scale crowd has become an important way to protect the public socialsecurity, guarantee national harmony and reinforce pre-warning capability in public paper designs a real time automatic face detection, tracking and recognition systemfor video, which can detect, track faces and recognize human identity within the scope of video. The system consists of three parts, which are multi-face detecon, multi-face tracking and identity recognition.
Fisherface method, to reduce dimensions of human face feature and to find the projection that is help for the feature classification. Finally, calculates projection of face to recognize and projection of sample face by cosine distance formula to identity faces.
Under Visual Studio 2021 IDE, this paper developes a real-time multi-face auto detecting, tracking and recognizing system and makes a large number of experiment for verification. Experiments show that, the system achieves accuracy detecting and recognizing result and makes a powerful real-time track which is a professional solution for human faces real-time detecting, tracking and recognizing。
Key words： dynamic target detection and tracking, face detection, extraction of dynamic feature
长春工程学院高级自动化结课论文
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目录
摘 要 1
关键词:传感器网络 协同跟踪 表情识别 图像处理 2
Abstract 3
Key words： dynamic target detection and tracking, face detection, extraction of dynamic feature 3
目录 4
第 一 章 基于运动目标的人体检测与跟踪 6
引言 6
基于二次连通域处理的人体检测 6
研究根底 6
连通域扫描 6
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