数据采集与处理2013，Vol.28Issue(2)：231-238,8.
智能视频监控系统中的干扰检测及分类
Tampering Detection and Classification of Intelligent Video Surveillance System
姬贯新 1周利莉1
作者信息
- 1. 解放军信息工程大学信息工程学院,郑州,450002
- 折叠
摘要
Abstract
A novel method is proposed to detect tampering of intelligent video surveillance and recognize the types of tampering. In order to detect tampering and recognize its type, the method gives every type of tampering a detection feature, such as covered camera, defocused, intensity error, color error, noise of video and so on. At the same time, adaptive threshold is applied to decrease complexity. The experimental results show that the proposed method satisfies the demand for real-time of video surveillance system and also has excellent performance of detection and recognition. Finally, the accuracy rate can reach 92. 2%.关键词
智能视频监控/自适应阈值/干扰检测/干扰分类Key words
intelligent video surveillance/ adaptive threshold/ tampering detection/ tampering recognition分类
信息技术与安全科学引用本文复制引用
姬贯新,周利莉..智能视频监控系统中的干扰检测及分类[J].数据采集与处理,2013,28(2):231-238,8.
