Abstract
A large-scale image sensing extended over very wide area can be realized by numerous image sensors, however, tremendous volume of data can cause adverse effects to the system such as network congestion. As a result, the system performance will be greatly deteriorated. One of the feasible ways to cope with such problem is to use smart image sensors as image acquisition devices because they can reduce the data volume on sensor level. In this paper, as a practical solution, we propose dynamic data rate control by adjusting spatial or temporal resolution with sampling-variant smart image sensors. Simulation results show that this scheme can provide an efficient use of network resources while preserving main objects in the scenes.
