基于视频监控系统和WiFi模块的室内物体定位与识别

D. Grzechca, Tomasz Wrobel, Patryk Bielecki
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引用次数: 13

摘要

近年来,随着定位服务的日益普及,对室内导航和定位系统的需求不断增加。本文介绍了基于信号融合的室内目标定位研究进展。定位是基于两个信号:RSSI(接收信号强度指示)和视频摄像机。本文提出了一种基于视觉的室内环境中人的检测与跟踪系统。然而,其精度取决于校准方法和附加传感器。大多数相关工作采用了非常复杂的校准方法。本文采用简单的算法计算实际位置,计算速度快。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Indoor Location and Idetification of Objects with Video Survillance System and WiFi Module
There is an increasing demand for indoor navigation and localization systems along with increasing popularity of location based services in last years. The paper presents our work in progress for locating indoor objects based on signal fusion. The location is based on two signals: RSSI (Received Signal Strength Indication) and video camera. This paper presents a vision-based system for human detection and tracking in indoor environment using a single static camera. However its accuracy depends on calibration methods and additional sensors. Most of related works used very complex approach of calibration. In this paper actual position is calculated by simple algorithm with fast computing time.
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