The Design And Implementation Of Conference-hall Management Based On Video Analysis

Video target detection and tracking is a core issue in the field of computer vision, and has a wide range of applications in both civilian and military, such as intelligent monitoring, human-computer interaction, robot navigation, medical diagnosis, and precision-guided weapons, in the last decade with the information the rapid development of technology, target detection and tracking has attracted the attention of many researchers, has become a hot research problem.Facing the requirements on large conference-hall management, the thesis uses the algorithm of target detection and provides the design and realization of large conference-hall management system. Combined with the basic information and RFID authentication system, we propose the method of multi-feature and multi-angle fusion, adopt the strongly extensible Subsection processing architecture and implement the precise binding of among people, ID cards and seats. Meanwhile, using the combining method of offline model initialization and online model updating, we not only save time for model updating for the first time by reducing the initial sample size, but also improve the system accuracy related to the ideas of cross sample test.The experiment and practical application show that the large conference-hall management system can meet the needs of attendance detection well. It also reaches a relatively high precision of staff behavior judgment.