Master Thesis - 2008

Recently, a monitoring system using network cameras based on wireless multihop network is spotlighted because of growing incidence of crime in living space personal security awareness rising. It can be constructed easily without existing network infrastructure. Compared with another system based on wired network, however, its communication quality is not stable. On the other hand, the role of the monitoring system is to discover a specific situation change such as the passage of target person and to notify the user of this change. However, it is difficult to confirm this change from a lot of visual records. For this reason, the expectation for the research which detects the important scene from each network camera on monitoring has increased. It is important to collect the video efficiently from a lot of cameras allocated in wide area considering the degradation of video quality by congestion and/or radio wave interference.

In this paper, I propose camera selection scheduling with the prioritization of videos and disjoint paths. The proposed method can select more important video and avoid the degradation of the video quality.

Finally, I show the excellent performance of the proposed method by simulation experiments.