10 June 2014 An algorithm for monitoring the traffic on a less-travelled road using multi-modal sensor suite
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Abstract
We conducted an experiment to correlate the information gathered by a suite of hard sensors with the information on social networks such as Twitter, Facebook, etc. The experiment consisting of monitoring traffic on a well- traveled road and on a road inside a facility. The sensors suite selected mainly consists of sensors that require low power for operation and last a longtime. The output of each sensor is analyzed to classify the targets as ground vehicles, humans, and airborne targets. The algorithm is also used to count the number of targets belonging to each type so the sensor can store the information for anomaly detection. In this paper, we describe the classifier algorithms used for acoustic, seismic, and passive infrared (PIR) sensor data.
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Thyagaraju Damarla, Gary Chatters, Brian Liss, Hao Vu, and James M. Sabatier "An algorithm for monitoring the traffic on a less-travelled road using multi-modal sensor suite", Proc. SPIE 9079, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR V, 90790F (10 June 2014); doi: 10.1117/12.2050318; https://doi.org/10.1117/12.2050318
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