The active badge location system
ACM Transactions on Information Systems (TOIS)
The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
The smart floor: a mechanism for natural user identification and tracking
CHI '00 Extended Abstracts on Human Factors in Computing Systems
Multi-Camera Multi-Person Tracking for EasyLiving
VS '00 Proceedings of the Third IEEE International Workshop on Visual Surveillance (VS'2000)
The Horus WLAN location determination system
Proceedings of the 3rd international conference on Mobile systems, applications, and services
Challenges: device-free passive localization for wireless environments
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Smart cevices for smart environments: Device-free passive detection in real environments
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Kalman filter-based tracking of a device-free passive entity in wireless environments
WiNTECH '11 Proceedings of the 6th ACM international workshop on Wireless network testbeds, experimental evaluation and characterization
Review: A survey of active and passive indoor localisation systems
Computer Communications
New insights into wifi-based device-free localization
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
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Device-free Passive (DfP) localization is a new concept in location determination where the tracked entity does not carry any device nor participate actively in the localization process. A DfP system operates by processing the received physical signal of a wireless transmitter at one or more monitoring points. The previously introduced DfP system was shown to enable the tracking of a single intruder with high accuracy in a highly controlled WLAN environment. In this paper, we propose and analyze different algorithms for DfP tracking in a typical indoor WLAN environment, rich in multipath. We also study the effect of the temporal and spatial changes in the environment on the accuracy of the system. In addition, we evaluate the effect of the different configurations of the wireless equipment placement on the DfP localization accuracy. Our results show that our proposed techniques can accurately track the user in typical environments, thus enabling a large number of DfP applications.