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PETRA
2009
ACM

Identifying people in camera networks using wearable accelerometers

9 years 4 months ago
Identifying people in camera networks using wearable accelerometers
We propose a system to identify people in a sensor network. The system fuses motion information measured from wearable accelerometer nodes with motion traces of each person detected by a camera node. This allows people to be uniquely identified with the IDs the accelerometer-node that they wear, while their positions are measured using the cameras. The system can run in real time, with high precision and recall results. A prototype implementation using iMote2s with camera boards and wearable TI EZ430 nodes with accelerometer sensorboards is also described. Categories and Subject Descriptors C.3 [Special-Purpose and Application-Based Systems]: Real-time and embedded systems; I.4 [Image Processing and Computer Vision]: Scene Analysis—Sensor fusion, Tracking General Terms Measurement, Design, Experimentation Keywords Unique identification, Consistent labelling, Association problem
Thiago Teixeira, Deokwoo Jung, Gershon Dublon, And
Added 28 May 2010
Updated 28 May 2010
Type Conference
Year 2009
Where PETRA
Authors Thiago Teixeira, Deokwoo Jung, Gershon Dublon, Andreas Savvides
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