Multi-Region Indoor Localization Based on WVP System

Abstract

Indoor localization has attracted increasingly attention in the era of Internet of Things. Single indoor localization method based on WiFi fingerprint, surveillance camera or pedestrian dead reckoning suffers from low accuracy, limited tracking region or accumulative errors. Pioneering works over-come these limitations at the costs of ubiquity as they mostly resort to additional information or extra user constraints. In the large indoor region, it is important to quickly get pedestrian detection and tracking. In this paper, an indoor localization and tracking system has been presented which integrates WiFi fingerprint, Vision of surveillance camera and Pedestrian Dead Reckoning(WVP system for short). This WVP system achieves high accuracy in dynamic indoor environment. Importantly, WVP employs a motion sequence-based matching algorithm to confirm pedestrian identity. WVP outputs enhanced accuracy and overcomes the corresponding drawbacks of each subsystem simultaneously. Experimental results show that WVP can effectively track pedestrians in multi-region, and has great robustness, and the positioning accuracy is decimeter. It also performs well in complex environment.