【摘要】 针对现有视频监控系统过分依赖人眼检测和缺乏智能性的弊端,根据南京师范大学敬文图书馆阅览室管理系统的要求,提出了一种基于主成分分析与ArcGIS网络分析算法的目标检测、识别和显示技术,应用背景减除法分割人头轮廓,奇异值分解训练样本空间,经过PCA变换得到目标图像的特征向量并进行目标匹配;同时建立网络模型提供座位信息查询和路径导航,并通过AO对象建模和应用软件功能控制模块实现图书馆阅览室的管理和应用功能,保证图书馆信息安全和稳定运行.实验结果表明,该系统具有较好的识别效果,对图书馆现代化、智能化、网络化和人性化建设起到积极作用.更多还原

【Abstract】 Aiming at the disadvantages of the current video monitoring system’s lacking intelligence and over-reliance on eye examination and identification,a new library reading room management technique is proposed for the application of Jingwen Library in Nanjing Normal University according to the libarary’s requirements.Based on the principal component analysis(PCA) algorithm and network analysis algorithm model in ArcGISTM,target detection and identification as well as visualization techniques are performed.Head outline segmentation is firstly carried out with the background subtraction method and sample training is conducted with Singular value decomposition algorithm.After the PCA transform,target match is achieved for the target image with the calculated feature vectors.The seating information query and navigation system is then set up by using the network model and the application management is built by using the AO function control and application software modules to guarantee information security and stable operation for library.The experimental results prove that the proposed system has good seating identification accuracy and suggests an active role in modernization,intelligentization and humanization for network library reading room management.更多还原