A Neuromorphic Architecture for Anomaly Detection in Autonomous Large-Area Traffic Monitoring* Special Session

Abstract

The advanced sensing and imaging capability of today’s sensor networks enables real time monitoring in a large area. In order to provide continuous monitoring and prompt situational awareness, an abstract-level autonomous information processing framework is developed that is able to detect various categories of abnormal traffic events with unsupervised… (More)

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@inproceedings{Chen2013ANA, title={A Neuromorphic Architecture for Anomaly Detection in Autonomous Large-Area Traffic Monitoring* Special Session}, author={Qiuwen Chen and Qinru Qiu and Hai Li and Qing Wu}, year={2013} }