In this paper we introduce a hybrid people tracking system based on the combined use of RFID UWB technology and computer vision techniques. The proposed system takes advantage of the different characteristics of the vision and wireless subsystems to achieve better accuracy and reliability for people tracking. Moreover data gained from the subsystems can be used for a more complex context capture system and can be seen as an enabler of a number of application from video-surveillance to Ambient Intelligence scenarios. Different scenarios have been tested to assess the feasibility and performance of the system. Experimental results demonstrate advantages in people tracking tasks encouraging further researches.
Fusion of Radio and Video Localization for People Tracking
MARCIALIS, GIAN LUCA;ROLI, FABIO
2011-01-01
Abstract
In this paper we introduce a hybrid people tracking system based on the combined use of RFID UWB technology and computer vision techniques. The proposed system takes advantage of the different characteristics of the vision and wireless subsystems to achieve better accuracy and reliability for people tracking. Moreover data gained from the subsystems can be used for a more complex context capture system and can be seen as an enabler of a number of application from video-surveillance to Ambient Intelligence scenarios. Different scenarios have been tested to assess the feasibility and performance of the system. Experimental results demonstrate advantages in people tracking tasks encouraging further researches.
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