Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wireless sensor network localization techniques
Computer Networks: The International Journal of Computer and Telecommunications Networking
An RF-Based System for Tracking Transceiver-Free Objects
PERCOM '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications
Challenges: device-free passive localization for wireless environments
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Effects of Correlated Shadowing: Connectivity, Localization, and RF Tomography
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Space-time wireless channels
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
Radio Tomographic Imaging with Wireless Networks
IEEE Transactions on Mobile Computing
See-Through Walls: Motion Tracking Using Variance-Based Radio Tomography Networks
IEEE Transactions on Mobile Computing
Comparing distributions and shapes using the kernel distance
Proceedings of the twenty-seventh annual symposium on Computational geometry
Real-Time Intrusion Detection and Tracking in Indoor Environment through Distributed RSSI Processing
RTCSA '11 Proceedings of the 2011 IEEE17th International Conference on Embedded and Real-Time Computing Systems and Applications - Volume 01
Histogram distance-based radio tomographic localization
Proceedings of the 11th international conference on Information Processing in Sensor Networks
Proceedings of the 11th international conference on Information Processing in Sensor Networks
Detecting malicious nodes in RSS-based localization
WOWMOM '11 Proceedings of the 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks
A Fade-Level Skew-Laplace Signal Strength Model for Device-Free Localization with Wireless Networks
IEEE Transactions on Mobile Computing
Device-free people counting and localization
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
From RSSI to CSI: Indoor localization via channel response
ACM Computing Surveys (CSUR)
3D tracking via body radio reflections
NSDI'14 Proceedings of the 11th USENIX Conference on Networked Systems Design and Implementation
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Network radio frequency (RF) environment sensing (NRES) systems pinpoint and track people in buildings using changes in the signal strength measurements made by a wireless sensor network. It has been shown that such systems can locate people who do not participate in the system by wearing any radio device, even through walls, because of the changes that moving people cause to the static wireless sensor network. However, many such systems cannot locate stationary people. We present and evaluate a system which can locate stationary or moving people, without calibration, by using kernel distance to quantify the difference between two histograms of signal strength measurements. From five experiments, we show that our kernel distance-based radio tomographic localization system performs better than the state-of-the-art NRES systems in different non line-of-sight environments.