Research on Remote Intelligent Family Video Surveillance System
In recent years, with the development of the technology of AI, more and more users want to layout video surveillance system at home in order to know the situation of their families when they go out The purpose of this paper is to establish a high performance secure intelligent family video surveillance system. This paper proposes an efficient object detection method, object detection method based on area partition priority(ODAPP),which can greatly reduce computation.In addition, short-time energy method is used to reduce the audio data quantity and Logistic chaotic mapping is used to ensure the systems security. The result shows that the performance of the system is greatly improved.
Intelligent video surveillance object detection ODBAPP short-term energy chaotic system
Xiangwei Liu Jianzhuo Yan Liying Fang
School of Electronic Information and Control Engineering, Beijing University of Technology Beijing 100124, China
国际会议
2011 International Conference on Information and Industrial Electronics(2011年信息与工业电子国际会议 ICIIE 2011)
成都
英文
127-130
2011-01-14(万方平台首次上网日期,不代表论文的发表时间)