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Mobile surveillance has been recently proposed as a replacement for traditional road-side surveillance system. One important aspect of a mobile surveillance system is to decide what are the events of interest. In this paper, the authors adopt the concept of participatory sensing for mobile surveillance by involving a human into the loop of data collection. They introduce a virtual credit based mechanism to motivate the participants to collect data and share their bandwidth. Finally, they use a large-scale real-world vehicle trace to evaluate the feasibility of their proposed framework.
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