【作者】 汤一平； 叶永杰； 朱艺华； 顾校凯；

【Author】 TANG Yi-ping, YE Yong-jie, ZHU Yi-hua, GU Xiao-kai College of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, China 310032

【机构】 浙江工业大学信息工程学院；

【摘要】 全方位视觉传感器(ODVS,Omni-Directional Vision Sensor)是传感器网络的一种重要部件。ODVS 的设计、嵌入式Linux ODVS系统结构、ODVS视频服务器及ODVS应用系统软件的开发是本研究的主要研究对象,并利用JMF技术和连续地自适应均值平移跟踪算法(CamShift,Continuously Adaptive Mean Shift) 实现了基于ODVS的多目标自动跟踪系统的具体应用,给出了实验结果。本研究对传感器网络的高效应用和全方位监控有着重要的应用价值。更多还原

【Abstract】 Omni-Directional Vision Sensor (ODVS) is one of important components of sensor networks. Design of ODVS, embedded Linux ODVS, video server of ODVS, and software development of ODVS applications are primary research objects of this research. In addition, the applications of multi-object automatic tracking systems based on ODVS are realized by JMF technology and Continuously Adaptive Mean Shift algorithm. Moreover, experimental results are proposed. This research is significant for sensor networks and Omni-Directional surveillance to be efficiently and effectively implemented.更多还原